Many applications such as robot navigation, defense, medical and remote sensing perform
various processing tasks, which can be performed more easily when all objects in different images of the
same scene are combined into a single fused image. In this paper, we propose a fast and effective
method for image fusion. The proposed method derives the intensity based variations that is large and
small scale, from the source images. In this approach, guided filtering is employed for this extraction.
Gaussian and Laplacian pyramidal approach is then used to fuse the different layers obtained.
Experimental results demonstrate that the proposed method can obtain better performance for fusion of
all sets of images. The results clearly indicate the feasibility of the proposed approach.
Abstract: Many applications such as robot navigation, defense, medical and remote sensing performvarious processing tasks, which can be performed more easily when all objects in different images of the same scene are combined into a single fused image. In this paper, we propose a fast and effective method for image fusion. The proposed method derives the intensity based variations that is large and small scale, from the source images. In this approach, guided filtering is employed for this extraction. Gaussian and Laplacian pyramidal approach is then used to fuse the different layers obtained. Experimental results demonstrate that the proposed method can obtain better performance for fusion of
all sets of images. The results clearly indicate the feasibility of the proposed approach.
International Refereed Journal of Engineering and Science (IRJES) is a peer reviewed online journal for professionals and researchers in the field of computer science. The main aim is to resolve emerging and outstanding problems revealed by recent social and technological change. IJRES provides the platform for the researchers to present and evaluate their work from both theoretical and technical aspects and to share their views.
www.irjes.com
Inpainting refers to the art of restoring lost parts of image and reconstructing them based on the background information i.e Image inpainting is the process of reconstructing lost or deteriorated parts of images using information from surrounding areas. In fine art museums, inpainting of degraded paintings is traditionally carried out by professional artists and usually very time consuming.The purpose of inpainting is to reconstruct missing regions in a visually plausible manner so that it seems reasonable to the human eye. There have been several approaches proposed for the same.
This paper gives an overview of different Techniques of Image Inpainting.The proposed work includes the overview of PDE based inpainting algorithm and Texture synthesis based inpainting algorithm. This paper presents a brief survey on comparative study of these two techniques used for Image Inpainting.
The development of multimedia system technology in Content based Image Retrieval (CBIR) System is
one in every of the outstanding area to retrieve the images from an oversized collection of database. The feature
vectors of the query image are compared with feature vectors of the database images to get matching images.It is
much observed that anyone algorithm isn't beneficial in extracting all differing kinds of natural images. Thus an
intensive analysis of certain color, texture and shape extraction techniques are allotted to spot an efficient CBIR
technique that suits for a selected sort of images. The Extraction of an image includes feature description and
feature extraction. During this paper, we tend to projected Color Layout Descriptor (CLD), grey Level Co-
Occurrences Matrix (GLCM), Marker-Controlled Watershed Segmentation feature extraction technique that
extract the matching image based on the similarity of Color, Texture and shape within the database. For
performance analysis, the image retrieval timing results of the projected technique is calculated and compared
with every of the individual feature.
Abstract Image Segmentation plays a vital role in image processing. The research in this area is still relevant due to its wide applications. Image segmentation is a process of assigning a label to every pixel in an image such that pixels with same label share certain visual characteristics. Sometimes it becomes necessary to calculate the total number of colors from the given RGB image to quantize the image, to detect cancer and brain tumour. The goal of this paper is to provide the best algorithm for image segmentation. Keywords: Image segmentation, RGB
There exists a plethora of algorithms to perform image segmentation and there are several issues related to
execution time of these algorithms. Image Segmentation is nothing but label relabeling problem under
probability framework. To estimate the label configuration, an iterative optimization scheme is
implemented to alternately carry out the maximum a posteriori (MAP) estimation and the maximum
likelihood (ML) estimations. In this paper this technique is modified in such a way so that it performs
segmentation within stipulated time period. The extensive experiments shows that the results obtained are
comparable with existing algorithms. This algorithm performs faster execution than the existing algorithm
to give automatic segmentation without any human intervention. Its result match image edges very closer to
human perception.
Abstract: Many applications such as robot navigation, defense, medical and remote sensing performvarious processing tasks, which can be performed more easily when all objects in different images of the same scene are combined into a single fused image. In this paper, we propose a fast and effective method for image fusion. The proposed method derives the intensity based variations that is large and small scale, from the source images. In this approach, guided filtering is employed for this extraction. Gaussian and Laplacian pyramidal approach is then used to fuse the different layers obtained. Experimental results demonstrate that the proposed method can obtain better performance for fusion of
all sets of images. The results clearly indicate the feasibility of the proposed approach.
International Refereed Journal of Engineering and Science (IRJES) is a peer reviewed online journal for professionals and researchers in the field of computer science. The main aim is to resolve emerging and outstanding problems revealed by recent social and technological change. IJRES provides the platform for the researchers to present and evaluate their work from both theoretical and technical aspects and to share their views.
www.irjes.com
Inpainting refers to the art of restoring lost parts of image and reconstructing them based on the background information i.e Image inpainting is the process of reconstructing lost or deteriorated parts of images using information from surrounding areas. In fine art museums, inpainting of degraded paintings is traditionally carried out by professional artists and usually very time consuming.The purpose of inpainting is to reconstruct missing regions in a visually plausible manner so that it seems reasonable to the human eye. There have been several approaches proposed for the same.
This paper gives an overview of different Techniques of Image Inpainting.The proposed work includes the overview of PDE based inpainting algorithm and Texture synthesis based inpainting algorithm. This paper presents a brief survey on comparative study of these two techniques used for Image Inpainting.
The development of multimedia system technology in Content based Image Retrieval (CBIR) System is
one in every of the outstanding area to retrieve the images from an oversized collection of database. The feature
vectors of the query image are compared with feature vectors of the database images to get matching images.It is
much observed that anyone algorithm isn't beneficial in extracting all differing kinds of natural images. Thus an
intensive analysis of certain color, texture and shape extraction techniques are allotted to spot an efficient CBIR
technique that suits for a selected sort of images. The Extraction of an image includes feature description and
feature extraction. During this paper, we tend to projected Color Layout Descriptor (CLD), grey Level Co-
Occurrences Matrix (GLCM), Marker-Controlled Watershed Segmentation feature extraction technique that
extract the matching image based on the similarity of Color, Texture and shape within the database. For
performance analysis, the image retrieval timing results of the projected technique is calculated and compared
with every of the individual feature.
Abstract Image Segmentation plays a vital role in image processing. The research in this area is still relevant due to its wide applications. Image segmentation is a process of assigning a label to every pixel in an image such that pixels with same label share certain visual characteristics. Sometimes it becomes necessary to calculate the total number of colors from the given RGB image to quantize the image, to detect cancer and brain tumour. The goal of this paper is to provide the best algorithm for image segmentation. Keywords: Image segmentation, RGB
There exists a plethora of algorithms to perform image segmentation and there are several issues related to
execution time of these algorithms. Image Segmentation is nothing but label relabeling problem under
probability framework. To estimate the label configuration, an iterative optimization scheme is
implemented to alternately carry out the maximum a posteriori (MAP) estimation and the maximum
likelihood (ML) estimations. In this paper this technique is modified in such a way so that it performs
segmentation within stipulated time period. The extensive experiments shows that the results obtained are
comparable with existing algorithms. This algorithm performs faster execution than the existing algorithm
to give automatic segmentation without any human intervention. Its result match image edges very closer to
human perception.
Region filling and object removal by exemplar based image inpaintingWoonghee Lee
To get rid of (an) object(s) at a picture or to restore a picture from scratches or holes, Criminisi at el. suggested an algorithm which is combied "texture synthesis" and "inpainting". I made the slide to present at a class to introduce this algorithm. I refered a slide http://bit.ly/1Ng7DNt. I wish this slide may help you to understand the algorithm. Thank you.
Contrast enhancement using various statistical operations and neighborhood pr...sipij
Histogram Equalization is a simple and effective contrast enhancement technique. In spite of its popularity
Histogram Equalization still have some limitations –produces artifacts, unnatural images and the local
details are not considered, therefore due to these limitations many other Equalization techniques have been
derived from it with some up gradation. In this proposed method statistics play an important role in image
processing, where statistical operations is applied to the image to get the desired result such as
manipulation of brightness and contrast. Thus, a novel algorithm using statistical operations and
neighborhood processing has been proposed in this paper where the algorithm has proven to be effective in
contrast enhancement based on the theory and experiment.
A systematic image compression in the combination of linear vector quantisati...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
It Works well on images while you want to edit an image or to repair old images. it also has great results on occluded images and good to use on censorship purposes. Appropriate reconstruction is one of its features.
one of the main and effective purposes is to complete images which have been destroyed during a time on SSDs or during transferring data in a transmission line or during transferring data between two devices such as laptop or Cellphones
Hope you all enjoy and make it as a reference
A Survey on Exemplar-Based Image Inpainting Techniquesijsrd.com
Preceding paper include exemplar-based image inpainting technique give idea how to inpaint destroyed region such as Criminisi algorithm, patch shifting scheme, search region prior method. Criminsi’s and Sarawut’s patch shifting scheme needed more time to inpaint an damaged region but proposed method decrease time complexity by searching only in related region of missing portion of image.
A Novel Feature Extraction Scheme for Medical X-Ray ImagesIJERA Editor
X-ray images are gray scale images with almost the same textural characteristic. Conventional texture or color
features cannot be used for appropriate categorization in medical x-ray image archives. This paper presents a
novel combination of methods like GLCM, LBP and HOG for extracting distinctive invariant features from Xray
images belonging to IRMA (Image Retrieval in Medical applications) database that can be used to perform
reliable matching between different views of an object or scene. GLCM represents the distributions of the
intensities and the information about relative positions of neighboring pixels of an image. The LBP features are
invariant to image scale and rotation, change in 3D viewpoint, addition of noise, and change in illumination A
HOG feature vector represents local shape of an object, having edge information at plural cells. These features
have been exploited in different algorithms for automatic classification of medical X-ray images. Excellent
experimental results obtained in true problems of rotation invariance, particular rotation angle, demonstrate that
good discrimination can be achieved with the occurrence statistics of simple rotation invariant local binary
patterns.
Image enhancement technique plays vital role in improving the quality of the image. Enhancement
technique basically enhances the foreground information and retains the background and improve the
overall contrast of an image. In some case the background of an image hides the structural information of
an image. This paper proposes an algorithm which enhances the foreground image and the background
part separately and stretch the contrast of an image at inter-object level and intra-object level and then
combines it to an enhanced image. The results are compared with various classical methods using image
quality measures
Single image super resolution with improved wavelet interpolation and iterati...iosrjce
IOSR journal of VLSI and Signal Processing (IOSRJVSP) is a double blind peer reviewed International Journal that publishes articles which contribute new results in all areas of VLSI Design & Signal Processing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced VLSI Design & Signal Processing concepts and establishing new collaborations in these areas.Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels.
An Improved Image Fusion Scheme Based on Markov Random Fields with Image Enha...Editor IJCATR
Image fusion is an important field in many image processing and analysis tasks in which fusion image data are acquired
from multiple sources. In this paper, we investigate the Image fusion of remote sensing images which are highly corrupted by salt and
pepper noise. In our paper we propose an image fusion technique based Markov Random Field (MRF). MRF models are powerful
tools to analyze image characteristics accurately and have been successfully applied to a large number of image processing
applications like image segmentation, image restoration and enhancement, etc.,. To de-noise the corrupted image we propose a
Decision based algorithm (DBA). DBA is a recent powerful algorithm to remove high-density Salt and Pepper noise using sheer
sorting method is proposed. Previously many techniques have been proposed to image fusion. In this paper experimental results are
shown our proposed Image fusion algorithm gives better performance than previous techniques.
Review on Image Enhancement in Spatial Domainidescitation
With the proliferation in electronic imaging devices
like in mobiles, computer vision, medical field and space field;
image enhancement field has become the quite interesting
and important area of research. These imaging devices are
viewed under a diverse range of viewing conditions and a huge
loss in contrast under bright outdoor viewing conditions; thus
viewing condition parameters such as surround effects,
correlated color temperature and ambient lighting have
become of significant importance. Therefore, Principle
objective of Image enhancement is to adjust the quality of an
image for better human visual perception. Appropriate choice
of enhancement techniques is greatly influenced by the
imaging modality, task at hand and viewing conditions.
Basically, image enhancement techniques have been classified
into two broad categories: Spatial domain image enhancement
and Frequency domain image enhancement. This survey report
gives an overview of different methodologies have been used
for enhancement under the spatial domain category. It is noted
that in this field still more research is to be done.
Comparing: Routing Protocols on Basis of sleep modeIJMER
The architecture of ad hoc wireless network consists of mobile nodes for communication
without the use of fixed-position routers. The communication between them takes place without
centralized control. Routing is a very crucial issue, so to deal with this routing algorithms must deliver
the packet in significant delay. There are different protocols for handling the mobile environment like
AODV, DSR and OLSR. But this paper will focus on performance of AODV and OLSR routing protocols.
The performance of these protocols is analyzed on two metrics: time and throughput
Region filling and object removal by exemplar based image inpaintingWoonghee Lee
To get rid of (an) object(s) at a picture or to restore a picture from scratches or holes, Criminisi at el. suggested an algorithm which is combied "texture synthesis" and "inpainting". I made the slide to present at a class to introduce this algorithm. I refered a slide http://bit.ly/1Ng7DNt. I wish this slide may help you to understand the algorithm. Thank you.
Contrast enhancement using various statistical operations and neighborhood pr...sipij
Histogram Equalization is a simple and effective contrast enhancement technique. In spite of its popularity
Histogram Equalization still have some limitations –produces artifacts, unnatural images and the local
details are not considered, therefore due to these limitations many other Equalization techniques have been
derived from it with some up gradation. In this proposed method statistics play an important role in image
processing, where statistical operations is applied to the image to get the desired result such as
manipulation of brightness and contrast. Thus, a novel algorithm using statistical operations and
neighborhood processing has been proposed in this paper where the algorithm has proven to be effective in
contrast enhancement based on the theory and experiment.
A systematic image compression in the combination of linear vector quantisati...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
It Works well on images while you want to edit an image or to repair old images. it also has great results on occluded images and good to use on censorship purposes. Appropriate reconstruction is one of its features.
one of the main and effective purposes is to complete images which have been destroyed during a time on SSDs or during transferring data in a transmission line or during transferring data between two devices such as laptop or Cellphones
Hope you all enjoy and make it as a reference
A Survey on Exemplar-Based Image Inpainting Techniquesijsrd.com
Preceding paper include exemplar-based image inpainting technique give idea how to inpaint destroyed region such as Criminisi algorithm, patch shifting scheme, search region prior method. Criminsi’s and Sarawut’s patch shifting scheme needed more time to inpaint an damaged region but proposed method decrease time complexity by searching only in related region of missing portion of image.
A Novel Feature Extraction Scheme for Medical X-Ray ImagesIJERA Editor
X-ray images are gray scale images with almost the same textural characteristic. Conventional texture or color
features cannot be used for appropriate categorization in medical x-ray image archives. This paper presents a
novel combination of methods like GLCM, LBP and HOG for extracting distinctive invariant features from Xray
images belonging to IRMA (Image Retrieval in Medical applications) database that can be used to perform
reliable matching between different views of an object or scene. GLCM represents the distributions of the
intensities and the information about relative positions of neighboring pixels of an image. The LBP features are
invariant to image scale and rotation, change in 3D viewpoint, addition of noise, and change in illumination A
HOG feature vector represents local shape of an object, having edge information at plural cells. These features
have been exploited in different algorithms for automatic classification of medical X-ray images. Excellent
experimental results obtained in true problems of rotation invariance, particular rotation angle, demonstrate that
good discrimination can be achieved with the occurrence statistics of simple rotation invariant local binary
patterns.
Image enhancement technique plays vital role in improving the quality of the image. Enhancement
technique basically enhances the foreground information and retains the background and improve the
overall contrast of an image. In some case the background of an image hides the structural information of
an image. This paper proposes an algorithm which enhances the foreground image and the background
part separately and stretch the contrast of an image at inter-object level and intra-object level and then
combines it to an enhanced image. The results are compared with various classical methods using image
quality measures
Single image super resolution with improved wavelet interpolation and iterati...iosrjce
IOSR journal of VLSI and Signal Processing (IOSRJVSP) is a double blind peer reviewed International Journal that publishes articles which contribute new results in all areas of VLSI Design & Signal Processing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced VLSI Design & Signal Processing concepts and establishing new collaborations in these areas.Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels.
An Improved Image Fusion Scheme Based on Markov Random Fields with Image Enha...Editor IJCATR
Image fusion is an important field in many image processing and analysis tasks in which fusion image data are acquired
from multiple sources. In this paper, we investigate the Image fusion of remote sensing images which are highly corrupted by salt and
pepper noise. In our paper we propose an image fusion technique based Markov Random Field (MRF). MRF models are powerful
tools to analyze image characteristics accurately and have been successfully applied to a large number of image processing
applications like image segmentation, image restoration and enhancement, etc.,. To de-noise the corrupted image we propose a
Decision based algorithm (DBA). DBA is a recent powerful algorithm to remove high-density Salt and Pepper noise using sheer
sorting method is proposed. Previously many techniques have been proposed to image fusion. In this paper experimental results are
shown our proposed Image fusion algorithm gives better performance than previous techniques.
Review on Image Enhancement in Spatial Domainidescitation
With the proliferation in electronic imaging devices
like in mobiles, computer vision, medical field and space field;
image enhancement field has become the quite interesting
and important area of research. These imaging devices are
viewed under a diverse range of viewing conditions and a huge
loss in contrast under bright outdoor viewing conditions; thus
viewing condition parameters such as surround effects,
correlated color temperature and ambient lighting have
become of significant importance. Therefore, Principle
objective of Image enhancement is to adjust the quality of an
image for better human visual perception. Appropriate choice
of enhancement techniques is greatly influenced by the
imaging modality, task at hand and viewing conditions.
Basically, image enhancement techniques have been classified
into two broad categories: Spatial domain image enhancement
and Frequency domain image enhancement. This survey report
gives an overview of different methodologies have been used
for enhancement under the spatial domain category. It is noted
that in this field still more research is to be done.
Comparing: Routing Protocols on Basis of sleep modeIJMER
The architecture of ad hoc wireless network consists of mobile nodes for communication
without the use of fixed-position routers. The communication between them takes place without
centralized control. Routing is a very crucial issue, so to deal with this routing algorithms must deliver
the packet in significant delay. There are different protocols for handling the mobile environment like
AODV, DSR and OLSR. But this paper will focus on performance of AODV and OLSR routing protocols.
The performance of these protocols is analyzed on two metrics: time and throughput
Effect of Chemical Reaction and Radiation Absorption on Unsteady Convective H...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
ANN Based Prediction Model as a Condition Monitoring Tool for Machine ToolsIJMER
In today’s world of manufacturing, a machine tool has an important role to produce best
quality and quantity in phase with the demand. Machine tool in good working condition enhances the
productivity and provides an opportunity for the overall development of the industry. Several
parameters such as vibration of a machine tool structure, temperature at cutting zones, machined
surface roughness, noise levels in the moving parts etc. provide the information of its working
condition which is related to its productivity. Surface roughness of the machined part is one of the
parameters to indicate machine tool condition. In the recent trends, soft computing tools have
emerged as an aid for the condition monitoring of machine tools. In the present work, experiments
have been conducted based on Taguchi technique for turning operation with different process input
parameters using carbide cutting tool insert and the surface roughness of the turned parts were
measured as output characteristic. Relation between input and output was established and a
prediction model for surface roughness was built by using artificial neural network (ANN)
backpropagation learning algorithm. The predicted values of surface roughness from the prediction
model in comparison with the experimental values are found to be in close agreement. This establishes
the use of ANN in developing prediction models for better monitoring of the condition of a machine
tool for enhancing the productivity
Taguchi Analysis of Erosion Wear Maize Husk Based Polymer CompositeIJMER
Amids the growing concern on environmental issues, science is seeking various alternatives to replace the synthetic and non degradable fibers composites with environment friendly biocomposites of comparable characteristics and performance. Visualizing the importance of polymer composites and owing to issue of ecological concerns, this experiment is an attempt to further investigate possibility of bio composites (Particularly maize husk) as an alternative of available synthetic polymer composites. Taking one leap forward the experiment also approximate qualities the effect of individual parameters on erosion by the application of Taguchi Technique. Experimental system were devised and designed to study the erosion rate of maize husk fiber Reinforced Polymer composites at various impingement angles, with profound variables such as particle velocity, fiber content, and particle size (erodent size) To cast the composite epoxy Resin LY 556 with corresponding hardener HY 551 was used. The erodent size was in range of it irregular shape. The tribological performance of sheets was investigated in respect to set of various variable parameters as suggested by L16 series of Taguchi Techniques. The morphological feature before and after the experiments were studies using SEM.
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
An Experimental Investigation of Capacity Utilization in Manufacturing Indus...IJMER
In the modern day competitive world, every organization demands an effective utilization of
capacity. Capacity Utilization means the maximum amount of output that can be produced in the short run of time. A lot of planning is necessary for the proper management of capacity. Capacity planning is one side of a coin and capacity management is the other. The capacity plans needs to be executed flawlessly, with unpleasant surprises avoided. A managerial problem is to match the capacity with the plans. Companies whether labour or machine intensive have a CI trend that remains fairly constant in
that particular sector. For example a company will have a monthly cumulative CI trend that could be compared with any other company trend within the same market. The present paper makes an attempt to study the most important parameter of the organization i.e capacity utilization of a company
Experimental Study of the Fatigue Strength of Glass fiber epoxy and Chapstan ...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
On ranges and null spaces of a special type of operator named 𝝀 − 𝒋𝒆𝒄𝒕𝒊𝒐𝒏. – ...IJMER
In this article, 𝜆 − 𝑗𝑒𝑐𝑡𝑖𝑜𝑛 has been introduced which is a generalization of trijection
operator as introduced in P.Chandra’s Ph. D. thesis titled “Investigation into the theory of operators
and linear spaces” (Patna University,1977). We obtain relation between ranges and null spaces of two
given 𝜆 − 𝑗𝑒𝑐𝑡𝑖𝑜𝑛𝑠 under suitable conditions.
Optimized Implementation of Edge Preserving Color Guided Filter for Video on ...iosrjce
IOSR journal of VLSI and Signal Processing (IOSRJVSP) is a double blind peer reviewed International Journal that publishes articles which contribute new results in all areas of VLSI Design & Signal Processing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced VLSI Design & Signal Processing concepts and establishing new collaborations in these areas.
Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels
INFORMATION SATURATION IN MULTISPECTRAL PIXEL LEVEL IMAGE FUSIONIJCI JOURNAL
The availability of imaging sensors operating in multiple spectral bands has led to the requirement of
image fusion algorithms that would combine the image from these sensors in an efficient way to give an
image that is more informative as well as perceptible to human eye. Multispectral image fusion is the
process of combining images from different spectral bands that are optically acquired. In this paper, we
used a pixel-level image fusion based on principal component analysis that combines satellite images of the
same scene from seven different spectral bands. The purpose of using principal component analysis
technique is that it is best method for Grayscale image fusion and gives better results. The main aim of
PCA technique is to reduce a large set of variables into a small set which still contains most of the
information that was present in the large set. The paper compares different parameters namely, entropy,
standard deviation, correlation coefficient etc. for different number of images fused from two to seven.
Finally, the paper shows that the information content in an image gets saturated after fusing four images.
NUMBER PLATE IMAGE DETECTION FOR FAST MOTION VEHICLES USING BLUR KERNEL ESTIM...paperpublications3
Abstract: Many recent advancements have been introduced in both hardware and software technologies. Out of these technologies, we gain a lot of interest in Image Processing. As the eccentric identification of a vehicle, number plate is a key clue to discover theft and over-speed vehicles. The captured images from the camera are always in low resolution and suffer severe loss of edge information, which cast great challenge to existing blind deblurring methods. The blur kernel can be showed as linear uniform convolution and with angle and length estimation. In this paper, sparse representation is used to identify the blur kernel. Then, the length of the motion kernel has been estimated with Radon transform in Fourier domain. We evaluate our approach on real-world images and compare with several popular blind image deblurring algorithms. Based on the results obtained the supremacy of our proposed approach in terms of efficacy.
Keywords: Image Segmentation, Angle Estimation, Length Estimation, Deconvolution Algorithm, Artificial Neural Network.
Title: NUMBER PLATE IMAGE DETECTION FOR FAST MOTION VEHICLES USING BLUR KERNEL ESTIMATION AND ANN
Author: S.KALAIVANI, K.PRAVEENA, T.PREETHI, N.PUNITHA
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
Improved nonlocal means based on pre classification and invariant block matchingIAEME Publication
One of the most popular image denoising methods based on self-similarity is called nonlocal
means (NLM). Though it can achieve remarkable performance, this method has a few shortcomings,
e.g., the computationally expensive calculation of the similarity measure, and the lack of reliable
candidates for some non repetitive patches. In this paper, we propose to improve NLM by integrating
Gaussian blur, clustering, and row image weighted averaging into the NLM framework.
Experimental results show that the proposed technique can perform denoising better than the original
NLM both quantitatively and visually, especially when the noise level is high.
EFFICIENT IMAGE COMPRESSION USING LAPLACIAN PYRAMIDAL FILTERS FOR EDGE IMAGESijcnac
This project presents a new image compression technique for the coding of retinal and
fingerprint images. Retinal images are used to detect diseases like diabetes or
hypertension. Fingerprint images are used for the security purpose. In this work, the
contourlet transform of the retinal and fingerprint image is taken first. The coefficients of
the contourlet transform are quantized using adaptive multistage vector quantization
scheme. The number of code vectors in the adaptive vector quantization scheme depends
on the dynamic range of the input image.
Performance of Efficient Closed-Form Solution to Comprehensive Frontier Exposureiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Orientation Spectral Resolution Coding for Pattern RecognitionIOSRjournaljce
In the approach of pattern recognition, feature descriptions are of greater importance. Features are represented in spatial domain and transformed domain. Wherein, spatial domain features are of lower representation, transformed domains are finer and more informative. In the transformed domain representation, features are represented using spectral coding using advanced transformation technique such as wavelet transformation. However, the feature extraction approach considers the band coefficients; the orientation variation is not considered. In this paper towards inherent orientation variation among each spectral band is derived, and the approach of orientation filtration is made for effective feature representation. The obtained result illustrates an improvement in the recognition accuracy, in comparison to conventional retrieval system.
Reduced-reference Video Quality Metric Using Spatial Information in Salient R...TELKOMNIKA JOURNAL
In multimedia transmission, it is important to rely on an objective quality metric which accurately
represents the subjective quality of processed images and video sequences. Maintaining acceptable
Quality of Experience in video transmission requires the ability to measure the quality of the video seen at
the receiver end. Reduced-reference metrics make use of side-information that is transmitted to the
receiver for estimating the quality of the received sequence with low complexity. This attribute enables
real-time assessment and visual degradation detection caused by transmission and compression errors. A
novel reduced-reference video quality known as the Spatial Information in Salient Regions Reduced
Reference Metric is proposed. The approach proposed makes use of spatial activity to estimate the
received sequence distortion after concealment. The statistical elements analysed in this work are based
on extracted edges and their luminance distributions. Results highlight that the proposed edge dissimilarit y
measure has a good correlation with DMOS scores from the LIVE Video Database.
ADOPTING AND IMPLEMENTATION OF SELF ORGANIZING FEATURE MAP FOR IMAGE FUSIONijistjournal
A different image fusion algorithm based on self organizing feature map is proposed in this paper, aiming to produce quality images. Image Fusion is to integrate complementary and redundant information from multiple images of the same scene to create a single composite image that contains all the important features of the original images. The resulting fused image will thus be more suitable for human and machine perception or for further image processing tasks. The existing fusion techniques based on either direct operation on pixels or segments fail to produce fused images of the required quality and are mostly application based. The existing segmentation algorithms become complicated and time consuming when multiple images are to be fused. A new method of segmenting and fusion of gray scale images adopting Self organizing Feature Maps(SOM) is proposed in this paper. The Self Organizing Feature Maps is adopted to produce multiple slices of the source and reference images based on various combination of gray scale and can dynamically fused depending on the application. The proposed technique is adopted and analyzed for fusion of multiple images. The technique is robust in the sense that there will be no loss in information due to the property of Self Organizing Feature Maps; noise removal in the source images done during processing stage and fusion of multiple images is dynamically done to get the desired results. Experimental results demonstrate that, for the quality multifocus image fusion, the proposed method performs better than some popular image fusion methods in both subjective and objective qualities.
A Study on Translucent Concrete Product and Its Properties by Using Optical F...IJMER
- Translucent concrete is a concrete based material with light-transferring properties,
obtained due to embedded light optical elements like Optical fibers used in concrete. Light is conducted
through the concrete from one end to the other. This results into a certain light pattern on the other
surface, depending on the fiber structure. Optical fibers transmit light so effectively that there is
virtually no loss of light conducted through the fibers. This paper deals with the modeling of such
translucent or transparent concrete blocks and panel and their usage and also the advantages it brings
in the field. The main purpose is to use sunlight as a light source to reduce the power consumption of
illumination and to use the optical fiber to sense the stress of structures and also use this concrete as an
architectural purpose of the building
Developing Cost Effective Automation for Cotton Seed DelintingIJMER
A low cost automation system for removal of lint from cottonseed is to be designed and
developed. The setup consists of stainless steel drum with stirrer in which cottonseeds having lint is mixed
with concentrated sulphuric acid. So lint will get burn. This lint free cottonseed treated with lime water to
neutralize acidic nature. After water washing this cottonseeds are used for agriculter purpose
Study & Testing Of Bio-Composite Material Based On Munja FibreIJMER
The incorporation of natural fibres such as munja fiber composites has gained
increasing applications both in many areas of Engineering and Technology. The aim of this study is to
evaluate mechanical properties such as flexural and tensile properties of reinforced epoxy composites.
This is mainly due to their applicable benefits as they are light weight and offer low cost compared to
synthetic fibre composites. Munja fibres recently have been a substitute material in many weight-critical
applications in areas such as aerospace, automotive and other high demanding industrial sectors. In
this study, natural munja fibre composites and munja/fibreglass hybrid composites were fabricated by a
combination of hand lay-up and cold-press methods. A new variety in munja fibre is the present work
the main aim of the work is to extract the neat fibre and is characterized for its flexural characteristics.
The composites are fabricated by reinforcing untreated and treated fibre and are tested for their
mechanical, properties strictly as per ASTM procedures.
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)IJMER
Hybrid engine is a combination of Stirling engine, IC engine and Electric motor. All these 3 are
connected together to a single shaft. The power source of the Stirling engine will be a Solar Panel. The aim of
this is to run the automobile using a Hybrid engine
Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...IJMER
The present day technology demands eco-friendly developments. In this era the
composite material are playing a vital roal in different field of Engineering .The composite materials
are using as a principle materials. Nowaday the composite materials are utilizing as a important
component of engineering field .Where as the importance of the applications of composites is well
known, but thrust on the use of natural fibres in it for reinforcement has been given priority for some
times. But changing from synthetic fibres to natural fibres provides only half green-composites. A
partial green composite will be achieved if the matrix component is also eco-friendly. Keeping this in
view, a detailed literature surveyed has been carried out through various issues of the Journals
related to this field. The material systems used are sunnhemp fibres. Some epoxy and hardener has
been also added for stability and drying of the bio-composites. Various graphs and bar-charts are
super-imposed on each other for comparison among themselves and Graphs is plotted on MAT LAB
and ORIGIN 6.0 software. To determining tensile strengths, Various properties for different biocomposites
have been compared among themselves. Comparison of the behaviour of bio-composites of
this work has been also compare with other works. The bio-composites developed in this work are
likely to get applications in fall ceilings, partitions, bio-degradable packagings, automotive interiors,
sports things (e.g. rackets, nets, etc.), toys etc.
Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...IJMER
The Greenstone belts of Karnataka are enriched in BIFs in Dharwar craton, where Iron
formations are confined to the basin shelf, clearly separated from the deeper-water iron formation that
accumulated at the basin margin and flanking the marine basin. Geochemical data procured in terms of
major, trace and REE are plotted in various diagrams to interpret the genesis of BIFs. Al2O3, Fe2O3 (T),
TiO2, CaO, and SiO2 abundances and ratios show a wide variation. Ni, Co, Zr, Sc, V, Rb, Sr, U, Th,
ΣREE, La, Ce and Eu anomalies and their binary relationships indicate that wherever the terrigenous
component has increased, the concentration of elements of felsic such as Zr and Hf has gone up. Elevated
concentrations of Ni, Co and Sc are contributed by chlorite and other components characteristic of basic
volcanic debris. The data suggest that these formations were generated by chemical and clastic
sedimentary processes on a shallow shelf. During transgression, chemical precipitation took place at the
sediment-water interface, whereas at the time of regression. Iron ore formed with sedimentary structures
and textures in Kammatturu area, in a setting where the water column was oxygenated.
Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...IJMER
In this paper, the mechanical characteristics of C45 medium carbon steel are investigated
under various working conditions. The main characteristic to be studied on this paper is impact toughness
of the material with different configurations and the experiment were carried out on charpy impact testing
equipment. This study reveals the ability of the material to absorb energy up to failure for various
specimen configurations under different heat treated conditions and the corresponding results were
compared with the analysis outcome
Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...IJMER
Robot guns are being increasingly employed in automotive manufacturing to replace
risky jobs and also to increase productivity. Using a single robot for a single operation proves to be
expensive. Hence for cost optimization, multiple guns are mounted on a single robot and multiple
operations are performed. Robot Gun structure is an efficient way in which multiple welds can be done
simultaneously. However mounting several weld guns on a single structure induces a variety of
dynamic loads, especially during movement of the robot arm as it maneuvers to reach the weld
locations. The primary idea employed in this paper, is to model those dynamic loads as equivalent G
force loads in FEA. This approach will be on the conservative side, and will be saving time and
subsequently cost efficient. The approach of the paper is towards creating a standard operating
procedure when it comes to analysis of such structures, with emphasis on deploying various technical
aspects of FEA such as Non Linear Geometry, Multipoint Constraint Contact Algorithm, Multizone
meshing .
Static Analysis of Go-Kart Chassis by Analytical and Solid Works SimulationIJMER
This paper aims to do modelling, simulation and performing the static analysis of a go
kart chassis consisting of Circular beams. Modelling, simulations and analysis are performed using 3-D
modelling software i.e. Solid Works and ANSYS according to the rulebook provided by Indian Society of
New Era Engineers (ISNEE) for National Go Kart Championship (NGKC-14).The maximum deflection is
determined by performing static analysis. Computed results are then compared to analytical calculation,
where it is found that the location of maximum deflection agrees well with theoretical approximation but
varies on magnitude aspect.
In récent year various vehicle introduced in market but due to limitation in
carbon émission and BS Séries limitd speed availability vehicle in the market and causing of
environnent pollution over few year There is need to decrease dependancy on fuel vehicle.
bicycle is to be modified for optional in the future To implement new technique using change in
pedal assembly and variable speed gearbox such as planetary gear optimise speed of vehicle
with variable speed ratio.To increase the efficiency of bicycle for confortable drive and to
reduce torque appli éd on bicycle. we introduced epicyclic gear box in which transmission done
throgh Chain Drive (i.e. Sprocket )to rear wheel with help of Epicyclical gear Box to give
number of différent Speed during driving.To reduce torque requirent in the cycle with change in
the pedal mechanism
Integration of Struts & Spring & Hibernate for Enterprise ApplicationsIJMER
The proposal of this paper is to present Spring Framework which is widely used in
developing enterprise applications. Considering the current state where applications are developed using
the EJB model, Spring Framework assert that ordinary java beans(POJO) can be utilize with minimal
modifications. This modular framework can be used to develop the application faster and can reduce
complexity. This paper will highlight the design overview of Spring Framework along with its features that
have made the framework useful. The integration of multiple frameworks for an E-commerce system has
also been addressed in this paper. This paper also proposes structure for a website based on integration of
Spring, Hibernate and Struts Framework.
Microcontroller Based Automatic Sprinkler Irrigation SystemIJMER
Microcontroller based Automatic Sprinkler System is a new concept of using
intelligence power of embedded technology in the sprinkler irrigation work. Designed system replaces
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farmer is protected against adverse inhuman weather conditions, tedious work of changing over of
sprinkler water pipe lines & risk of accident due to high pressure in the water pipe line. Overall
sprinkler irrigation work is transformed in to a comfortableautomatic work. This system provides
flexibility & accuracy in respect of time set for the operation of a sprinkler water pipe lines. In present
work the author has designed and developed an automatic sprinkler irrigation system which is
controlled and monitored by a microcontroller interfaced with solenoid valves.
On some locally closed sets and spaces in Ideal Topological SpacesIJMER
In this paper we introduce and characterize some new generalized locally closed sets
known as
δ
ˆ
s-locally closed sets and spaces are known as
δ
ˆ
s-normal space and
δ
ˆ
s-connected space and
discussed some of their properties
Intrusion Detection and Forensics based on decision tree and Association rule...IJMER
This paper present an approach based on the combination of, two techniques using
decision tree and Association rule mining for Probe attack detection. This approach proves to be
better than the traditional approach of generating rules for fuzzy expert system by clustering methods.
Association rule mining for selecting the best attributes together and decision tree for identifying the
best parameters together to create the rules for fuzzy expert system. After that rules for fuzzy expert
system are generated using association rule mining and decision trees. Decision trees is generated for
dataset and to find the basic parameters for creating the membership functions of fuzzy inference
system. Membership functions are generated for the probe attack. Based on these rules we have
created the fuzzy inference system that is used as an input to neuro-fuzzy system. Fuzzy inference
system is loaded to neuro-fuzzy toolbox as an input and the final ANFIS structure is generated for
outcome of neuro-fuzzy approach. The experiments and evaluations of the proposed method were
done with NSL-KDD intrusion detection dataset. As the experimental results, the proposed approach
based on the combination of, two techniques using decision tree and Association rule mining
efficiently detected probe attacks. Experimental results shows better results for detecting intrusions as
compared to others existing methods
Natural Language Ambiguity and its Effect on Machine LearningIJMER
"Natural language processing" here refers to the use and ability of systems to process
sentences in a natural language such as English, rather than in a specialized artificial computer
language such as C++. The systems of real interest here are digital computers of the type we think of as
personal computers and mainframes. Of course humans can process natural languages, but for us the
question is whether digital computers can or ever will process natural languages. We have tried to
explore in depth and break down the types of ambiguities persistent throughout the natural languages
and provide an answer to the question “How it affects the machine translation process and thereby
machine learning as whole?” .
Today in era of software industry there is no perfect software framework available for
analysis and software development. Currently there are enormous number of software development
process exists which can be implemented to stabilize the process of developing a software system. But no
perfect system is recognized till yet which can help software developers for opting of best software
development process. This paper present the framework of skillful system combined with Likert scale. With
the help of Likert scale we define a rule based model and delegate some mass score to every process and
develop one tool name as MuxSet which will help the software developers to select an appropriate
development process that may enhance the probability of system success.
Material Parameter and Effect of Thermal Load on Functionally Graded CylindersIJMER
The present study investigates the creep in a thick-walled composite cylinders made
up of aluminum/aluminum alloy matrix and reinforced with silicon carbide particles. The distribution
of SiCp is assumed to be either uniform or decreasing linearly from the inner to the outer radius of
the cylinder. The creep behavior of the cylinder has been described by threshold stress based creep
law with a stress exponent of 5. The composite cylinders are subjected to internal pressure which is
applied gradually and steady state condition of stress is assumed. The creep parameters required to
be used in creep law, are extracted by conducting regression analysis on the available experimental
results. The mathematical models have been developed to describe steady state creep in the composite
cylinder by using von-Mises criterion. Regression analysis is used to obtain the creep parameters
required in the study. The basic equilibrium equation of the cylinder and other constitutive equations
have been solved to obtain creep stresses in the cylinder. The effect of varying particle size, particle
content and temperature on the stresses in the composite cylinder has been analyzed. The study
revealed that the stress distributions in the cylinder do not vary significantly for various combinations
of particle size, particle content and operating temperature except for slight variation observed for
varying particle content. Functionally Graded Materials (FGMs) emerged and led to the development
of superior heat resistant materials.
Energy Audit is the systematic process for finding out the energy conservation
opportunities in industrial processes. The project carried out studies on various energy conservation
measures application in areas like lighting, motors, compressors, transformer, ventilation system etc.
In this investigation, studied the technical aspects of the various measures along with its cost benefit
analysis.
Investigation found that major areas of energy conservation are-
1. Energy efficient lighting schemes.
2. Use of electronic ballast instead of copper ballast.
3. Use of wind ventilators for ventilation.
4. Use of VFD for compressor.
5. Transparent roofing sheets to reduce energy consumption.
So Energy Audit is the only perfect & analyzed way of meeting the Industrial Energy Conservation.
An Implementation of I2C Slave Interface using Verilog HDLIJMER
The focus of this paper is on implementation of Inter Integrated Circuit (I2C) protocol
following slave module for no data loss. In this paper, the principle and the operation of I2C bus protocol
will be introduced. It follows the I2C specification to provide device addressing, read/write operation and
an acknowledgement. The programmable nature of device provide users with the flexibility of configuring
the I2C slave device to any legal slave address to avoid the slave address collision on an I2C bus with
multiple slave devices. This paper demonstrates how I2C Master controller transmits and receives data to
and from the Slave with proper synchronization.
The module is designed in Verilog and simulated in ModelSim. The design is also synthesized in Xilinx
XST 14.1. This module acts as a slave for the microprocessor which can be customized for no data loss.
Discrete Model of Two Predators competing for One PreyIJMER
This paper investigates the dynamical behavior of a discrete model of one prey two
predator systems. The equilibrium points and their stability are analyzed. Time series plots are obtained
for different sets of parameter values. Also bifurcation diagrams are plotted to show dynamical behavior
of the system in selected range of growth parameter
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
About
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Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
1. International
OPEN ACCESS Journal
Of Modern Engineering Research (IJMER)
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.11| Nov. 2014 | 17|
Multiexposure Image Fusion
Suhaina J1
, Bindu K. R2
1
Department of Electronics and Communication Engineering, FISAT/ Mahatma Gandhi University, India
2
Department of Electronics and Communication Engineering, FISAT/ Mahatma Gandhi University, India
I. INTRODUCTION
Often a single sensor cannot produce a complete representation of a scene. Visible images provide
spectral and spatial details, and if a target has the same color and spatial characteristics as its background, it
cannot be distinguished from the background. Image fusion is the process of combining information from two
or more images of a scene into a single composite image that is more informative and is more suitable for
visual perception or computer processing. The objective in image fusion is to reduce uncertainty and minimize
redundancy in the output while maximizing relevant information particular to an application or task. Given the
same set of input images, different fused images may be created depending on the specific application and
what is considered relevant information. There are several benefits in using image fusion: wider spatial and
temporal coverage, decreased uncertainty, improved reliability, and increased robustness of system
performance.
A large number of image fusion methods [1]–[4] have been proposed in literature. Among these
methods, multiscale image fusion [2] and data-driven image fusion [3] are very successful methods. They focus
on different data representations, e.g., multi-scale coefficients [5], [6], or data driven decomposition
coefficients [3], [7] and different image fusion rules to guide the fusion of coefficients. The major advantage of
these methods is that they can well preserve the details of different source images. However, these kinds of
methods may produce brightness and color distortions since spatial consistency is not well considered in the
fusion process. Spatial consistency means that if two adjacent pixels have similar brightness or color, they will
tend to have similar weights. A popular spatial consistency based fusion approach is formulating an energy
function, where the pixel saliencies are encoded in the function and edge aligned weights are enforced by
regularization terms, e.g., a smoothness term. This energy function can be then minimized globally to obtain
the desired weight maps. To make full use of spatial context, optimization based image fusion approaches, e.g.,
generalized random walks [8], and Markov random fields [9] based methods have been proposed. These
methods focus on estimating spatially smooth and edge aligned weights by solving an energy function and then
fusing the source images by weighted average of pixel values. However, optimization based methods have a
common limitation, i.e., inefficiency, since they require multiple iterations to find the global optimal solution.
Moreover, another drawback is that global optimization based methods may over-smooth the resulting weights,
which is not good for fusion. An interesting alternative to optimization based method is guided image filtering
[10]. The proposed method employs guided filtering for layer extraction. The extracted layers are then fused
separately.
The remainder of this paper is organized as follows. In Section II, the guided image filtering
algorithm is reviewed. Section III describes the proposed image fusion algorithm. The experimental results and
discussions are presented in Section IV. Finally, Section V concludes the paper.
Abstract: Many applications such as robot navigation, defense, medical and remote sensing perform
various processing tasks, which can be performed more easily when all objects in different images of the
same scene are combined into a single fused image. In this paper, we propose a fast and effective
method for image fusion. The proposed method derives the intensity based variations that is large and
small scale, from the source images. In this approach, guided filtering is employed for this extraction.
Gaussian and Laplacian pyramidal approach is then used to fuse the different layers obtained.
Experimental results demonstrate that the proposed method can obtain better performance for fusion of
all sets of images. The results clearly indicate the feasibility of the proposed approach.
Keywords: Gaussian Pyramid, Guided Filter, Image Fusion, Laplacian Pyramid, Multi-exposure
images
2. Multiexposure Image Fusion
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.11| Nov. 2014 | 18|
II. GUIDED IMAGE FILTERING
Guided filter is an image filter derived from a local linear model. It computes the filtering output by
considering the content of a guidance image, which can be the input image itself or another different image.
The guided filter can be used as an edge-preserving smoothing operator like the popular bilateral filter, but it
has better behaviors near edges. The guided filter is also a more generic concept beyond smoothing: It can
transfer the structures of the guidance image to the filtering output, enabling new filtering applications like
dehazing and guided feathering. Moreover, the guided filter naturally has a fast and nonapproximate linear
time algorithm, regardless of the kernel size and the intensity range. Currently, it is one of the fastest edge-
preserving filters. Guided filter is both effective and efficient in a great variety of computer vision and
computer graphics applications, including edge-aware smoothing, detail enhancement, HDR compression,
image matting/feathering, dehazing, joint upsampling, etc.
The filtering output is locally a linear transform of the guidance image. On one hand, the guided filter
has good edge-preserving smoothing properties like the bilateral filter, but it does not suffer from the gradient
reversal artifacts. On the other hand, the guided filter can be used beyond smoothing: With the help of the
guidance image, it can make the filtering output more structured and less smoothed than the input. Moreover,
the guided filter naturally has an O(N) time (in the number of pixels N) nonapproximate algorithm for both
gray-scale and high-dimensional images, regardless of the kernel size and the intensity range. Typically, the
CPU implementation achieves 40 ms per mega-pixel performing gray-scale filtering. It has great potential in
computer vision and graphics, given its simplicity, efficiency, and high-quality.
Fig. 2.1. Illustrations of the bilateral filtering process (left) and the guided filtering process (right)
2.1 Guided filter
A general linear translation-variant filtering process is defined, which involves a guidance image I, an
filtering input image p, and an output image q. Both I and p are given beforehand according to the application,
and they can be identical. The filtering output at a pixel i is expressed as a weighted average:
(1)
where i and j are pixel indexes. The filter kernel Wij is a function of the guidance image I and independent of
p. This filter is linear with respect to p. An example of such a filter is the joint bilateral filter (Fig. 2.1 (left)).
The bilateral filtering kernel Wbf is given by :
(2)
where x is the pixel coordinate and Ki is a normalizing parameter to ensure . The parameters s
and r adjust the sensitivity of the spatial similarity and the range (intensity/color) similarity, respectively. The
joint bilateral filter degrades to the original bilateral filter when I and p are identical. The implicit weighted-
average filters optimize a quadratic function and solve a linear system in this form:
(3)
where q and p are N-by-1 vectors concatenating {qi} and {pi}, respectively, and A is an N-by-N matrix only
depends on I. The solution to (3), i.e., , has the same form as (1), with .
The key assumption of the guided filter is a local linear model between the guidance I and the filtering
output q. We assume that q is a linear transform of I in a window wk centered at the pixel k:
(4)
3. Multiexposure Image Fusion
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.11| Nov. 2014 | 19|
where (ak, bk) are some linear coefficients assumed to be constant in wk. We use a square window of radius r.
This local linear model ensures that q has an edge only if I has an edge, because . This model has
been proven useful in image super-resolution, image matting and dehazing.
To determine the linear coefficients {ak, bk}, we need constraints from the filtering input p. We model
the output q as the input p subtracting some unwanted components n like noise/textures:
(5)
A solution that minimizes the difference between q and p while maintaining the linear model (4) is suggested.
Specifically, the following cost function in the window wk is minimized :
(6)
Here, is a regularization parameter penalizing large ak.
Equation (6) is the linear ridge regression model [11] and its solution is given by :
(7)
(8)
Here, k and are mean and variance of I in wk, |w| is the number of pixels in wk, and is
the mean of p in wk. Having obtained the linear coefficients {ak, bk}, we can compute the filtering output qi by
(4). Fig.2.1 (right) shows an illustration of the guided filtering process.
However, a pixel i is involved in all the overlapping windows wk that covers i, so the value of qi in (4)
is not identical when it is computed in different windows. A simple strategy is to average all the possible
values of qi. So after computing (ak, bk) for all windows wk in the image, we compute the filtering output by :
(9)
Noticing that due to the symmetry of the box window, (9) is rewritten as :
(10)
where and are the average coefficients of all windows overlapping i. The
averaging strategy of overlapping windows is popular in image denoising.
With the modification in (10), q is no longer scaling of I because the linear coefficients
vary spatially. But as are the output of a mean filter, their gradients can be expected to be much
smaller than that of I near strong edges. In short, abrupt intensity changes in I can be mostly preserved in q.
Equations (7), (8), and (10) are the definition of the guided filter. A pseudocode is in Algorithm 1. In
this algorithm, fmean is a mean filter with a window radius r. The abbreviations of correlation (corr), variance
(var), and covariance (cov) indicate the intuitive meaning of these variables.
Algorithm 1. Guided Filter.
Input: filtering input image p, guidance image I, radius r, regularization
Output: filtering output q.
1: meanI = fmean(I)
meanp = fmean(p)
corrI = fmean(I.*I)
corrIp = fmean(I.*p)
2: varI = corrI - meanI .* meanI
covIp = corrIp - meanI .* meanp
3: a = covIp ./(varI + )
b = meanp – a.* meanI
4: meana = fmean(a)
meanb = fmean(b)
5: q = meana .* I + meanb
III. OVERALL APPROACH
The flowchart of the proposed image fusion method is shown in Fig. 3.1. We first employ guided
filtering for the extraction of base layers and detail layers from the input images. 𝑞𝑖 computed in (9) preserves
the strongest edges in 𝐼 while smoothing small changes in intensity. Let bK be the base layer computed
from (9) (i.e.,bK = 𝑞𝑖 and 1 ≤ 𝐾 ≤ 𝑁) for 𝐾th
input image denoted by 𝐼 𝐾 . The detail layer is defined
as the difference between the guided filter output and the input image, which is defined as
4. Multiexposure Image Fusion
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.11| Nov. 2014 | 20|
(11)
Fig 3.1. Flowchart of the proposed method
3.1 Base Layer Fusion
The pyramid representation expresses an image as a sum of spatially band-passed images while
retaining local spatial information in each band. A pyramid is created by lowpass filtering an image 𝐺0 with a
compact two-dimensional filter. The filtered image is then subsampled by removing every other pixel and
every other row to obtain a reduced image 𝐺1.This process is repeated to form a Gaussian pyramid 𝐺0, 𝐺1, 𝐺2,
𝐺3, . . . , 𝐺𝑑. Expanding 𝐺1 to the same size as 𝐺0 and subtracting yields the band-passed image 𝐿0. A
Laplacian pyramid 𝐿0, 𝐿1, 𝐿2, . . . , 𝐿𝑑−1, can be built containing band-passed images of decreasing size and
spatial frequency.
l l l+1 (12)
where l refers to the number of levels in the pyramid.
The original image can be reconstructed from the expanded band-pass images:
(13)
The Gaussian pyramid contains low-passed versions of the original 𝐺0, at progressively lower spatial
frequencies. This effect is clearly seen when the Gaussian pyramid levels are expanded to the same size as 𝐺0.
The Laplacian pyramid consists of band-passed copies of 𝐺0. Each Laplacian level contains the edges of a
certain size and spans approximately an octave in spatial frequency.
(a) Quality measures
Many images in the stack contain flat, colorless regions due to under- and overexposure. Such regions
should receive less weight, while interesting areas containing bright colors and details should be preserved.
The following measures are used to achieve this:
• Contrast: Contrast is created by the difference in luminance reflected from two adjacent surfaces. In other
words, contrast is the difference in visual properties that makes an object distinguishable from other object and
the background. In visual perception contrast is determined by the difference in color and brightness of the
object with other object. It is the difference between the darker and the lighter pixel of the image, if it is big the
image will have high contrast and in the other case the image will have low contrast.
A Laplacian filter is applied to the grayscale version of each image, and take the absolute value of the
filter response. This yields a simple indicator C for contrast. It tends to assign a high weight to important
elements such as edges and texture.
• Saturation: As a photograph undergoes a longer exposure, the resulting colors become desaturated and
eventually clipped. The saturation of a color is determined by a combination of light intensity and how much it
is distributed across the spectrum of different wavelengths. The purest (most saturated) color is achieved by
using just one wavelength at a high intensity, such as in laser light. If the intensity drops, then as a result the
saturation drops. Saturated colors are desirable and make the image look vivid. A saturation measure S is
included which is computed as the standard deviation within the R, G and B channel, at each pixel.
• Exposure: Exposure is a term that refers to two aspects of photography – it is referring to how to control the
lightness and the darkness of the image. In photography, exposure is the amount of light per unit area reaching
a photographic film. A photograph may be described as overexposed when it has a loss of highlight detail, that
is, when important bright parts of an image are washed out or effectively all white, known as blown out
highlights or clipped whites. A photograph may be described as underexposed when it has a loss of shadow
detail, that is, when important dark areas are muddy or indistinguishable from black, known as blocked up
shadows. Looking at just the raw intensities within a channel, reveals how well a pixel is exposed. We want to
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keep intensities that are not near zero (underexposed) or one (overexposed). We weight each intensity i based
on how close it is to 0.5 using a Gauss curve:
(14)
To account for multiple color channels, we apply the Gauss curve to each channel separately, and multiply the
results, yielding the measure E.
The fused base layer is computed as the weighted sum of the base layers
𝑏1 𝑏2 . . . ,𝑏𝑁 obtained across 𝑁 input exposures. Pyramidal approach is used to generate
Laplacian pyramid of the base layers L{𝑏 𝐾 }𝑙 and Gaussian pyramid of weight map functions
𝐺{𝑊 𝐾 }𝑙 estimated from three quality measures (i.e., saturation 𝑆 𝐾 , contrast 𝐶 𝐾 , and
exposure 𝐸 𝐾 ). Here, 𝑙 (0 < 𝑙 < 𝑑) refers to the number of levels in the pyramid and 𝐾 (1 < 𝐾 < 𝑁) refers
to the number of input images. The weight map is computed as the product of these three quality metrics (i.e.
WK = 𝑆 𝐾 ⋅ 𝐶 𝐾 ⋅ 𝐸 𝐾 ). The L{𝑏 𝐾 }𝑙 multiplied with the corresponding 𝐺{𝑊 𝐾(𝑖‟,
𝑗‟)}𝑙 and summing over 𝐾 yield modified Laplacian pyramid 𝐿𝑙(𝑖‟, 𝑗‟) as follows:
(15)
The that contains well exposed pixels is reconstructed by expanding each level and then summing all
the levels of the Laplacian pyramid:
(16)
3.2 Detail Layer Fusion
The detail layers computed in (11) across all the input exposures are linearly combined to produce
fused detail layer 𝑑𝑓 that yields combined texture information as follows:
(17)
where is the user defined parameter to control amplification of texture details (typically set to 5).
Finally, the detail enhanced fused image 𝑔 is easily computed by simply adding up the fused
base layer 𝑏 𝑓 computed in (16) and the manipulated fused detail layer in (17) as follows:
(18)
3.3 Numerical Analysis
Numerical analysis is the process of evaluating a technique via some objective metrics. For this
purpose, two fusion quality metrics [12], i.e., information theory based metric (QMI) [13] and structure based
metrics (Qc) [14] are adopted. In order to assess the fusion performance, fusion quality metric is used.
(a) Normalized mutual information (QMI)
Normalized mutual information, QMI is an information theory based metric. Mutual information
improves image fusion quality assessments. One problem with traditional mutual information metric is that it
is unstable and may bias the measure towards the source image with the highest entropy.
The size of the overlapping part of the images influences the mutual information measure in two
ways. First of all, a decrease in overlap decreases the number of samples, which reduces the statistical power of
the probability distribution estimation. Secondly, with increasing misregistration (which usually coincides with
decreasing overlap) the mutual information measure may actually increase. This can occur when the relative
areas of object and background even out and the sum of the marginal entropies increases, faster than the joint
entropy. Normalized measure of mutual information is less sensitive to changes in overlap. Hossny et al.
modified it to the normalized mutual information [13]. Here, Hossny et al.‟s definition is adopted.
(19)
where H(A), H(B) and H(F) are the marginal entropy of A, B and F, and MI(A, F)is the mutual information
between the source image A and the fused image F.
(20)
where H(A, F) is the joint entropy between A and F, H(A) and H(F) are the marginal entropy of A and F,
respectively, and MI(B,F) is similar to MI(A, F). The quality metric QMI measures how well the original
information from source images is preserved in the fused image.
(b) Cvejic et al.’s metric (Qc)
Cvejic et al.‟s metric, Qc is a structure based metric. It is calculated as follows :
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(21)
where is calculated as follows :
(22)
and are the covariance between A,B and F, UIQI refers to the universal image quality index. The Qc
quality metric estimates how well the important information in the source images is preserved in the fused
image, while minimizing the amount of distortion that could interfere with interpretation.
IV. Results And Discussion
The system described above is implemented using Matlab and the result was successfully obtained. In
this section, the obtained results are provided. Figure 4.1 shows the base and detail layers.
Figure 4.2: Base layers and Detail layers
Pyramidal approach is used for fusing base layers. Quality measures of images are considered to
compute the weight map. Weight map is the combination of contrast, saturation and exposure. Figure 4.3
shows the gaussian pyramid of weight map function.
Figure 4.3: Gaussian pyramid
Laplacian pyramid of the base layers are generated. Thus obtained laplacian pyramid is shown in figure 4.4.
Figure 4.4: Laplacian pyramid
Fused pyramid is obtained by combining the Gaussian pyramid of weight map functions and
Laplacian pyramid of base layers. Figure 4.5 shows the fused pyramid.
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Figure 4.5: Fused pyramid
Fused base layer is the weighted sum of base layers. The detail layers obtained are boosted and fused.
Figure 4.6 shows the fused base and detail layers.
Figure 4.6: Fused base layer and detail layer
Finally, the fused image is obtained by combining the obtained fused base and fused detail layers. The
fused image is shown in figure 4.7. Numerical analysis is performed on the obtained results.
Figure 4.7: Fused image
The following shows the results obtained for some of the other source images.
(a) (b)
Figure 4.8: (a) Source Images (b) Fused Image
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(a) (b)
Figure 4.9: (a) Source Images (b) Fused Image
(a) (b)
Figure 4.10: (a) Source Images (b) Fused Image
V. Conclusion
We proposed a technique for fusing multiexposure input images. The proposed method constructs a
detail enhanced image from a set of multiexposure images by using a multiresolution decomposition technique.
When compared with the existing techniques which use multiresolution and single resolution analysis for
exposure fusion, the current proposed method performs better in terms of enhancement of texture details in the
fused image. The framework is inspired by the edge preserving property of guided filter that has better
response near strong edges. Experiments show that the proposed method can well preserve the original and
complementary information of multiple input images.
REFERENCES
[1] S. Li, J. Kwok, I. Tsang, and Y. Wang, “Fusing images with different focuses using support vector machines,”
IEEE Trans. Neural Netw., vol. 15, no. 6, pp. 1555–1561, Nov. 2004.
[2] G. Pajares and J. M. de la Cruz, “A wavelet-based image fusion tutorial,” Pattern Recognit., vol. 37, no. 9, pp.
1855–1872, Sep. 2004.
[3] D. Looney and D. Mandic, “Multiscale image fusion using complex extensions of EMD,” IEEE Trans. Signal
Process., vol. 57, no. 4, pp. 1626–1630, Apr. 2009.
[4] M. Kumar and S. Dass, “A total variation-based algorithm for pixellevel image fusion,” IEEE Trans. Image
Process., vol. 18, no. 9, pp. 2137–2143, Sep. 2009.
[5] P. Burt and E. Adelson, “The laplacian pyramid as a compact image code,” IEEE Trans. Commun., vol. 31, no. 4,
pp. 532–540, Apr. 1983.
[6] O. Rockinger, “Image sequence fusion using a shift-invariant wavelet transform,” in Proc. Int. Conf. Image
Process., vol. 3, Washington, DC, USA, Oct. 1997, pp. 288–291.
[7] J. Liang, Y. He, D. Liu, and X. Zeng, “Image fusion using higher order singular value decomposition,” IEEE Trans.
Image Process., vol. 21, no. 5, pp. 2898–2909, May 2012.
[8] R. Shen, I. Cheng, J. Shi, and A. Basu, “Generalized random walks for fusion of multi-exposure images,” IEEE
Trans. Image Process., vol. 20, no. 12, pp. 3634–3646, Dec. 2011.
9. Multiexposure Image Fusion
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss.11| Nov. 2014 | 25|
[9] M. Xu, H. Chen, and P. Varshney, “An image fusion approach based on markov random fields,” IEEE Trans.
Geosci. Remote Sens., vol. 49, no. 12, pp. 5116–5127, Dec. 2011.
[10] K. He, J. Sun, and X. Tang, “Guided image filtering,” in Proc. Eur. Conf. Comput. Vis., Heraklion, Greece, Sep.
2010, pp. 1–14.
[11] N. Draper and H. Smith, Applied Regression Analysis. New York, USA: Wiley, 1981.
[12] Z. Liu, E. Blasch, Z. Xue, J. Zhao, R. Laganiere, and W. Wu,“Objective assessment of multiresolution image
fusion algorithms for context enhancement in night vision: A comparative study,” IEEE Trans. Pattern Anal. Mach.
Intell., vol. 34, no. 1, pp. 94–109, Jan. 2012.
[13] M. Hossny, S. Nahavandi, and D. Creighton, “Comments on „information measure for performance of image
fusion‟,” Electron. Lett., vol. 44, no. 18, pp. 1066–1067, Aug. 2008.
[14] N. Cvejic, A. Loza, D. Bull, and N. Canagarajah, “A similarity metric for assessment of image fusion algorithms,”
Int. J. Signal Process., vol. 2, no. 3, pp. 178–182, Apr. 2005.