Abstract: Three major problems have been found in the existing algorithms of image inpainting:
Reconstruction of large regions, Preference of filling-in and Choice of best exemplars to synthesize the missing
region. The proposed algorithm introduces two ideas that deal with these problems preserving edge continuity
along with decrease in error propagation. The proposed algorithm introduces a modified priority computation
in order to generate better edges in the omitted region and to reduce the transmission of errors in the resultant
image a novel way to find optimal exemplar has been proposed. This proposal optimizes the reconstruction
process and increases the accuracy. The proposed algorithm removes blurness and builds edges efficiently
while reconstructing large target region.
Keywords: Image inpainting, texture synthesis, Image Completion, exemplar-based method
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.
LEARNING FINGERPRINT RECONSTRUCTION: FROM MINUTIAE TO IMAGENexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
AN IMPLEMENTATION OF ADAPTIVE PROPAGATION-BASED COLOR SAMPLING FOR IMAGE MATT...ijiert bestjournal
Natural image matting refers to the problem of an e xtracting the region of interest such as foreground object from an image based on the user i nputs like scribbles or trimap. The proposed algorithm combines propagation and color s ampling methods. Unlike previous propagation-based approaches that used either local or non local propagation method,the proposed framework adaptively uses both local and n on local processes according to the detection result of the different region in the ima ge. The proposed color sampling strategy,which is based on the characteristic of super pixel uses a simple sample selection criterion and requires significantly less computational cost. Proposed method used another method to convert original image to trimap image,which is ba sed on selection process. That use roipoly tool to select a polygonal region of interest withi n the image,it can use as a mask for masked filtering. In which used the Chan-Vese algorithm fo r image segmentation
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.
LEARNING FINGERPRINT RECONSTRUCTION: FROM MINUTIAE TO IMAGENexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
AN IMPLEMENTATION OF ADAPTIVE PROPAGATION-BASED COLOR SAMPLING FOR IMAGE MATT...ijiert bestjournal
Natural image matting refers to the problem of an e xtracting the region of interest such as foreground object from an image based on the user i nputs like scribbles or trimap. The proposed algorithm combines propagation and color s ampling methods. Unlike previous propagation-based approaches that used either local or non local propagation method,the proposed framework adaptively uses both local and n on local processes according to the detection result of the different region in the ima ge. The proposed color sampling strategy,which is based on the characteristic of super pixel uses a simple sample selection criterion and requires significantly less computational cost. Proposed method used another method to convert original image to trimap image,which is ba sed on selection process. That use roipoly tool to select a polygonal region of interest withi n the image,it can use as a mask for masked filtering. In which used the Chan-Vese algorithm fo r image segmentation
Image segmentation by modified map ml estimationsijesajournal
Though numerous algorithms exist to perform image segmentation there are several issues
related to execution time of these algorithm. 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.
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.
Template matching is a technique in computer vision used for finding a sub-image of a target image which matches a template image. This technique is widely used in object detection fields such as vehicle tracking, robotics , medical imaging, and manufacturing .
APPLYING R-SPATIOGRAM IN OBJECT TRACKING FOR OCCLUSION HANDLINGsipij
Object tracking is one of the most important problems in computer vision. The aim of video tracking is to extract the trajectories of a target or object of interest, i.e. accurately locate a moving target in a video sequence and discriminate target from non-targets in the feature space of the sequence. So, feature descriptors can have significant effects on such discrimination. In this paper, we use the basic idea of many trackers which consists of three main components of the reference model, i.e., object modeling, object detection and localization, and model updating. However, there are major improvements in our system. Our forth component, occlusion handling, utilizes the r-spatiogram to detect the best target candidate. While spatiogram contains some moments upon the coordinates of the pixels, r-spatiogram computes region-based compactness on the distribution of the given feature in the image that captures richer features to represent the objects. The proposed research develops an efficient and robust way to keep tracking the object throughout video sequences in the presence of significant appearance variations and severe occlusions. The proposed method is evaluated on the Princeton RGBD tracking dataset considering sequences with different challenges and the obtained results demonstrate the effectiveness of the proposed method.
A CONCERT EVALUATION OF EXEMPLAR BASED IMAGE INPAINTING ALGORITHMS FOR NATURA...cscpconf
Image inpainting derives from restoration of art works, and has been applied to repair ancient
art works. Inpainting is a technique of restoring a partially damaged or occluded image in an
undetectable way. It fills the damaged part of an image by employing information of the
undamaged part according to some rules to make it look “reasonable” to human eyes. Digital
image inpainting is relatively new area of research, but numerous and different approaches to
tackle the inpainting problem have been proposed since the concept was first introduced. This
paper analyzes and compares the recent exemplar based inpainting algorithms by Minqin Wang
and Hao Guo et al. A number of examples on real images are demonstrated to evaluate the
results of algorithms using Peak Signal to Noise Ratio (PSNR)
A comparative analysis of retrieval techniques in content based image retrievalcsandit
Basic group of visual techniques such as color, shape, texture are used in Content Based Image
Retrievals (CBIR) to retrieve query image or sub region of image to find similar images in
image database. To improve query result, relevance feedback is used many times in CBIR to
help user to express their preference and improve query results. In this paper, a new approach
for image retrieval is proposed which is based on the features such as Color Histogram, Eigen
Values and Match Point. Images from various types of database are first identified by using
edge detection techniques .Once the image is identified, then the image is searched in the
particular database, then all related images are displayed. This will save the retrieval time.
Further to retrieve the precise query image, any of the three techniques are used and
comparison is done w.r.t. average retrieval time. Eigen value technique found to be the best as
compared with other two techniques.
Two Stage Reversible Data Hiding Based On Image Interpolation and Histogram ...IJMER
In this paper a two stage reversible data hiding technique is proposed. At the first stage, an
interpolation technique is used to generate a cover image from the input image. The difference values
from input image and cover image is used as the carrier to embed data. At the second stage, a histogram
modification is applied on a difference image to embed data. The extraction process also works in two
stages. The proposed algorithm is expected to increase the embedding capacity as two techniques are
combined. The interpolation technique helps to keep the distortion low. Experimental results show that
the new method has higher embedding capacity than other existing methods.
International Journal of Engineering Inventions (IJEI) provides a multidisciplinary passage for researchers, managers, professionals, practitioners and students around the globe to publish high quality, peer-reviewed articles on all theoretical and empirical aspects of Engineering and Science.
Contour Line Tracing Algorithm for Digital Topographic MapsCSCJournals
Topographic maps contain information related to roads, contours, landmarks land covers and rivers etc. For any Remote sensing and GIS based project, creating a database using digitization techniques is a tedious and time consuming process especially for contour tracing. Contour line is very important information that these maps provide. They are mainly used for determining slope of the landforms or rivers. These contour lines are also used for generating Digital Elevation Model (DEM) for 3D surface generation from any satellite imagery or aerial photographs. This paper suggests an algorithm that can be used for tracing contour lines automatically from contour maps extracted from the topographical sheets and creating a database. In our approach, we have proposed a modified Moore's Neighbor contour tracing algorithm to trace all contours in the given topographic maps. The proposed approach is tested on several topographic maps and provides satisfactory results and takes less time to trace the contour lines compared with other existing algorithms.
Contour-based Pedestrian Detection with Foreground Distribution Trend Filteri...ITIIIndustries
In this work, we propose a real-time pedestrian detection method for crowded environments based on contour and motion information. Sparse contour templates of human shapes are first generated on the basis of a point distribution model (PDM), then a template matching step is applied to detect humans. To reduce the detecting time complexity and improve the detection accuracy, we propose to take the ratio and distribution trend of foreground pixels inside each detecting window into consideration. A tracking method is further applied to deal with the short-term occlusions and false alarms. The experimental results show that our method can efficiently detect pedestrians in videos of crowded scenes.
Influence of the speed in advance and the laser’s power on the zone affected ...IOSR Journals
Abstract: The Laser cutting is a very important manufacturing technology. But this method has some
disadvantages, among which we find the emergence of a Thermically Affected Zone ZAT can dramatically alter
the characteristics of the processed material which affects its behaviour during its use. For this, we have tried in
this article to study the effect of the forward speed and the laser power in this area (thickness, hardening). In
this context, tests were made on steel C45 where we relied on the method of experiment plans to create a
mathematical model Significant coefficients are obtained by carrying out a variance analysis ANOVA on the
level of 5% of significance. We find that the speed in advance and the power of the laser have a great effect on
the ZAT.
Keywords: Cutting, Laser CO2, Heat Affected Zone.
Ethernet Enabled Digital I/O Control in Embedded SystemsIOSR Journals
Abstract: This paper presents very simple and economical way to provide Ethernet connectivity to micro controller based embedded systems. This system uses arm7 controller to store the main application source code, web pages and TCP/IP stack which is a vital element of the system software. an Ethernet controller chip,ENC28J60 is used to handle the Ethernet controller chip.ENC28J60 is used to handle the Ethernet communications and is interfaced with the host micro controller using SPI pins. There are several I/O pins available at the micro controller which are used to interface with sensors and relays for monitoring and controlling operations. Now a day, internet has spread worldwide and most of the internet connections use Ethernet as media for data transfer. in industries or in home appliances ,most of the time we need to monitor and control different parameters using micro controllers. Once we enable Ethernet interface to such systems, we can communicate with them remotely over the internet Keywords:Ethernet controller; TCP/IP stack; serialperipheral interface (SPI),ENC28J60, Triac,Sensors
A Novel Flipflop Topology for High Speed and Area Efficient Logic Structure D...IOSR Journals
Abstract: In high speed data path network flop is one of the major functional elements to store intermediate results and data at different stages. But the most important problem is huge power utilization due to switching activity and increase in clock period that is Timing Latency; causes the performance of data path in digital design is decreased. The existing works implement various Flipflop topology in data path structure design such as conventional Transmission Gate Based Master Slave Filpflop (TGMS FF), Write Port Master Slave Flip-flop (WPMS) and Clocked Complementary Metal Oxide Semiconductor (C2MOS). In WPMS method, area is minimized but delay is increased. In C2MOS technique Power consumption and delay is reduced, but there is a definite scope to reduce Power, area and delay. In this paper a Modified Clocked Complementary Metal Oxide Semiconductor Latch (mC2MOS Latch) is proposed and delay, power is again reduced up to 60% and the area of the circuit is also reduced while comparing with previous methods. Index Terms: Circuit enhancement, flip-flops (FFs), high-speed, logical effort, master–slave, transmission-gate.
On Hadamard Product of P-Valent Functions with Alternating TypeIOSR Journals
Padmanabhan and Ganeshan have obtained some results on Hadamard product of univalent functions with negative coefficients of the type f (z) z a z , a 0. 2n n 1 2n 2n In this paper we have obtained coefficient bounds and convolution results of p-valent function
A Novel Flipflop Topology for High Speed and Area Efficient Logic Structure D...IOSR Journals
In high speed data path network flop is one of the major functional elements to store intermediate
results and data at different stages. But the most important problem is huge power utilization due to switching
activity and increase in clock period that is Timing Latency; causes the performance of data path in digital
design is decreased. The existing works implement various Flipflop topology in data path structure design such
as conventional Transmission Gate Based Master Slave Filpflop (TGMS FF), Write Port Master Slave Flip-flop
(WPMS) and Clocked Complementary Metal Oxide Semiconductor (C2MOS). In WPMS method, area is
minimized but delay is increased. In C2MOS technique Power consumption and delay is reduced, but there is a
definite scope to reduce Power, area and delay. In this paper a Modified Clocked Complementary Metal Oxide
Semiconductor Latch (mC2MOS Latch) is proposed and delay, power is again reduced up to 60% and the area
of the circuit is also reduced while comparing with previous methods.
Chitosan capped Silver nanoparticles used as Pressure sensorsIOSR Journals
In the present work, we report the synthesis and characterization of silver nanoparticles, capped with chitosan (biopolymer ). The majority of the particles produced in this way had sizes around 18 nm. Composite films of capped silver nanoparticles and chitosan polymer were studied to understand the charge transport under different pressure. Films of different compositions were prepared to measure current voltage curves across the film thickness. The results reveal that these materials exhibit electrical conductivity as predicted by the “classical theory of percolation”. Pressure dependent electrical conductivity and these composites can be explored to develop low cost pressure sensors.
Image segmentation by modified map ml estimationsijesajournal
Though numerous algorithms exist to perform image segmentation there are several issues
related to execution time of these algorithm. 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.
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.
Template matching is a technique in computer vision used for finding a sub-image of a target image which matches a template image. This technique is widely used in object detection fields such as vehicle tracking, robotics , medical imaging, and manufacturing .
APPLYING R-SPATIOGRAM IN OBJECT TRACKING FOR OCCLUSION HANDLINGsipij
Object tracking is one of the most important problems in computer vision. The aim of video tracking is to extract the trajectories of a target or object of interest, i.e. accurately locate a moving target in a video sequence and discriminate target from non-targets in the feature space of the sequence. So, feature descriptors can have significant effects on such discrimination. In this paper, we use the basic idea of many trackers which consists of three main components of the reference model, i.e., object modeling, object detection and localization, and model updating. However, there are major improvements in our system. Our forth component, occlusion handling, utilizes the r-spatiogram to detect the best target candidate. While spatiogram contains some moments upon the coordinates of the pixels, r-spatiogram computes region-based compactness on the distribution of the given feature in the image that captures richer features to represent the objects. The proposed research develops an efficient and robust way to keep tracking the object throughout video sequences in the presence of significant appearance variations and severe occlusions. The proposed method is evaluated on the Princeton RGBD tracking dataset considering sequences with different challenges and the obtained results demonstrate the effectiveness of the proposed method.
A CONCERT EVALUATION OF EXEMPLAR BASED IMAGE INPAINTING ALGORITHMS FOR NATURA...cscpconf
Image inpainting derives from restoration of art works, and has been applied to repair ancient
art works. Inpainting is a technique of restoring a partially damaged or occluded image in an
undetectable way. It fills the damaged part of an image by employing information of the
undamaged part according to some rules to make it look “reasonable” to human eyes. Digital
image inpainting is relatively new area of research, but numerous and different approaches to
tackle the inpainting problem have been proposed since the concept was first introduced. This
paper analyzes and compares the recent exemplar based inpainting algorithms by Minqin Wang
and Hao Guo et al. A number of examples on real images are demonstrated to evaluate the
results of algorithms using Peak Signal to Noise Ratio (PSNR)
A comparative analysis of retrieval techniques in content based image retrievalcsandit
Basic group of visual techniques such as color, shape, texture are used in Content Based Image
Retrievals (CBIR) to retrieve query image or sub region of image to find similar images in
image database. To improve query result, relevance feedback is used many times in CBIR to
help user to express their preference and improve query results. In this paper, a new approach
for image retrieval is proposed which is based on the features such as Color Histogram, Eigen
Values and Match Point. Images from various types of database are first identified by using
edge detection techniques .Once the image is identified, then the image is searched in the
particular database, then all related images are displayed. This will save the retrieval time.
Further to retrieve the precise query image, any of the three techniques are used and
comparison is done w.r.t. average retrieval time. Eigen value technique found to be the best as
compared with other two techniques.
Two Stage Reversible Data Hiding Based On Image Interpolation and Histogram ...IJMER
In this paper a two stage reversible data hiding technique is proposed. At the first stage, an
interpolation technique is used to generate a cover image from the input image. The difference values
from input image and cover image is used as the carrier to embed data. At the second stage, a histogram
modification is applied on a difference image to embed data. The extraction process also works in two
stages. The proposed algorithm is expected to increase the embedding capacity as two techniques are
combined. The interpolation technique helps to keep the distortion low. Experimental results show that
the new method has higher embedding capacity than other existing methods.
International Journal of Engineering Inventions (IJEI) provides a multidisciplinary passage for researchers, managers, professionals, practitioners and students around the globe to publish high quality, peer-reviewed articles on all theoretical and empirical aspects of Engineering and Science.
Contour Line Tracing Algorithm for Digital Topographic MapsCSCJournals
Topographic maps contain information related to roads, contours, landmarks land covers and rivers etc. For any Remote sensing and GIS based project, creating a database using digitization techniques is a tedious and time consuming process especially for contour tracing. Contour line is very important information that these maps provide. They are mainly used for determining slope of the landforms or rivers. These contour lines are also used for generating Digital Elevation Model (DEM) for 3D surface generation from any satellite imagery or aerial photographs. This paper suggests an algorithm that can be used for tracing contour lines automatically from contour maps extracted from the topographical sheets and creating a database. In our approach, we have proposed a modified Moore's Neighbor contour tracing algorithm to trace all contours in the given topographic maps. The proposed approach is tested on several topographic maps and provides satisfactory results and takes less time to trace the contour lines compared with other existing algorithms.
Contour-based Pedestrian Detection with Foreground Distribution Trend Filteri...ITIIIndustries
In this work, we propose a real-time pedestrian detection method for crowded environments based on contour and motion information. Sparse contour templates of human shapes are first generated on the basis of a point distribution model (PDM), then a template matching step is applied to detect humans. To reduce the detecting time complexity and improve the detection accuracy, we propose to take the ratio and distribution trend of foreground pixels inside each detecting window into consideration. A tracking method is further applied to deal with the short-term occlusions and false alarms. The experimental results show that our method can efficiently detect pedestrians in videos of crowded scenes.
Influence of the speed in advance and the laser’s power on the zone affected ...IOSR Journals
Abstract: The Laser cutting is a very important manufacturing technology. But this method has some
disadvantages, among which we find the emergence of a Thermically Affected Zone ZAT can dramatically alter
the characteristics of the processed material which affects its behaviour during its use. For this, we have tried in
this article to study the effect of the forward speed and the laser power in this area (thickness, hardening). In
this context, tests were made on steel C45 where we relied on the method of experiment plans to create a
mathematical model Significant coefficients are obtained by carrying out a variance analysis ANOVA on the
level of 5% of significance. We find that the speed in advance and the power of the laser have a great effect on
the ZAT.
Keywords: Cutting, Laser CO2, Heat Affected Zone.
Ethernet Enabled Digital I/O Control in Embedded SystemsIOSR Journals
Abstract: This paper presents very simple and economical way to provide Ethernet connectivity to micro controller based embedded systems. This system uses arm7 controller to store the main application source code, web pages and TCP/IP stack which is a vital element of the system software. an Ethernet controller chip,ENC28J60 is used to handle the Ethernet controller chip.ENC28J60 is used to handle the Ethernet communications and is interfaced with the host micro controller using SPI pins. There are several I/O pins available at the micro controller which are used to interface with sensors and relays for monitoring and controlling operations. Now a day, internet has spread worldwide and most of the internet connections use Ethernet as media for data transfer. in industries or in home appliances ,most of the time we need to monitor and control different parameters using micro controllers. Once we enable Ethernet interface to such systems, we can communicate with them remotely over the internet Keywords:Ethernet controller; TCP/IP stack; serialperipheral interface (SPI),ENC28J60, Triac,Sensors
A Novel Flipflop Topology for High Speed and Area Efficient Logic Structure D...IOSR Journals
Abstract: In high speed data path network flop is one of the major functional elements to store intermediate results and data at different stages. But the most important problem is huge power utilization due to switching activity and increase in clock period that is Timing Latency; causes the performance of data path in digital design is decreased. The existing works implement various Flipflop topology in data path structure design such as conventional Transmission Gate Based Master Slave Filpflop (TGMS FF), Write Port Master Slave Flip-flop (WPMS) and Clocked Complementary Metal Oxide Semiconductor (C2MOS). In WPMS method, area is minimized but delay is increased. In C2MOS technique Power consumption and delay is reduced, but there is a definite scope to reduce Power, area and delay. In this paper a Modified Clocked Complementary Metal Oxide Semiconductor Latch (mC2MOS Latch) is proposed and delay, power is again reduced up to 60% and the area of the circuit is also reduced while comparing with previous methods. Index Terms: Circuit enhancement, flip-flops (FFs), high-speed, logical effort, master–slave, transmission-gate.
On Hadamard Product of P-Valent Functions with Alternating TypeIOSR Journals
Padmanabhan and Ganeshan have obtained some results on Hadamard product of univalent functions with negative coefficients of the type f (z) z a z , a 0. 2n n 1 2n 2n In this paper we have obtained coefficient bounds and convolution results of p-valent function
A Novel Flipflop Topology for High Speed and Area Efficient Logic Structure D...IOSR Journals
In high speed data path network flop is one of the major functional elements to store intermediate
results and data at different stages. But the most important problem is huge power utilization due to switching
activity and increase in clock period that is Timing Latency; causes the performance of data path in digital
design is decreased. The existing works implement various Flipflop topology in data path structure design such
as conventional Transmission Gate Based Master Slave Filpflop (TGMS FF), Write Port Master Slave Flip-flop
(WPMS) and Clocked Complementary Metal Oxide Semiconductor (C2MOS). In WPMS method, area is
minimized but delay is increased. In C2MOS technique Power consumption and delay is reduced, but there is a
definite scope to reduce Power, area and delay. In this paper a Modified Clocked Complementary Metal Oxide
Semiconductor Latch (mC2MOS Latch) is proposed and delay, power is again reduced up to 60% and the area
of the circuit is also reduced while comparing with previous methods.
Chitosan capped Silver nanoparticles used as Pressure sensorsIOSR Journals
In the present work, we report the synthesis and characterization of silver nanoparticles, capped with chitosan (biopolymer ). The majority of the particles produced in this way had sizes around 18 nm. Composite films of capped silver nanoparticles and chitosan polymer were studied to understand the charge transport under different pressure. Films of different compositions were prepared to measure current voltage curves across the film thickness. The results reveal that these materials exhibit electrical conductivity as predicted by the “classical theory of percolation”. Pressure dependent electrical conductivity and these composites can be explored to develop low cost pressure sensors.
The Evaluation of the Seismic Vulnerability of Reinforced Concrete Building i...IOSR Journals
The work is presented in the context of estimating the seismic vulnerability of reinforced concrete
building by determining the maximum displacements of all levels of the studied building and stability factors, by
comparing the seismic shifts in the three areas of Morocco, using seismic regulations 2000, different
vulnerabilities studies allowed us to establish a new concept of the economic impact of the optimal sizing and
Fluidization Characteristics of Nano Particles with the Assist of StirrerIOSR Journals
Fluidization of ultrafine solid particles is widely used in a variety of industrial applications because of its
unusual capability of continuous powder handling, good mixing, large gas–solid contact area, and very high rates of
heat and mass transfer. As the particle size decreases the cohesive forces between particles increases. Therefore,
fluidization of ultrafine particles becomes much more difficult as compared to the larger size particles and it needs efficient method. In the present work, the fluidization experiments were conducted using air as fluidizing media and SiO2, ZnO and Al2O3
nano particles, with a size ranging from 15 to 30 nm in 2-dimensional fluidized bed with the assist of stirrer.
The fluidization behavior of the nanoparticle, including the fluidization regime, the minimum fluidization velocity, and the
bed expansion are also investigated. . The results showed that smoother fluidization was observed with increasing agitation
speed, because the agglomeration and channeling were reduced by the mechanical agitation. It was found that with the assist of stirrer ,by increasing in the speed of stirrer initial bed voidage increased and terminal velocity and agglomerate diameter decreased.
Some properties of two-fuzzy Nor med spacesIOSR Journals
The study sheds light on the two-fuzzy normed space concentrating on some of their properties like convergence, continuity and the in order to study the relationship between these spaces
A Comparative Study of Tourism Industry in North-Eastern States of IndiaIOSR Journals
Despite of so many unique and natural beauties the North-eastern region of India is still place of least visited in India. Though the Government of India has been providing the financial assistance for development of tourist Infrastructure and promotion and marketing, the performances and development of the tourism in states is totally different. In this context, the present paper examines the tourism in North-eastern states of India. Major findings are the inflows of tourists are higher in Assam state and lower in Nagaland. Tourism sectors share in Gross State Domestic Product (GSDP) is high in Assam. As for the growth rate of tourists’ influx is concerned, the growth rate in Arunachal Pradesh is much higher with 55 percent compared to other states. Further, the Density of Tourist Population (DTP) and The Percapita Tourist arrival (PCT) is high in Sikkim with 101.57 and 1.19 respectively and lowest in Nagaland with 1.35 and 0.01. The major constraints of North-east tourism development and uneven performance among states are insufficient funds, lack of infrastructure, transportation, lack of alternatives means of transport, Marketing, boundary issues, terror effect and permit period. Steps should be taken to wipe-out the constraints for tourism development.
All optical single module phase encoded half-adder and halfsubtractor exploit...IOSR Journals
Abstract: The development of all optical super fast arithmetic logic unit (ALU) is one of the most important
requirement for construction of super fast all optical processor. All optical half-adder and half-subtractor have
performed most of the essential functions of the arithmetic logic unit. Here in this paper the author has
proposed a scheme of single module for phase encoded simultaneous operation of half-addition and halfsubtraction
for the same input bits using four wave mixing (FWM) in semiconductor optical amplifier (SOA).
This type of single module for simultaneous operations using phase encoding based on the difference of phase
with the reference signal one through FWM in SOA will gives fast response to accomplish the demand of super
fast all optical processing.
Keywords - ALU, FWM, SOA, half-adder and half-subtractor.
Implementation of Wireless Communication using Adaptive Beamforming of Smart ...IOSR Journals
Abstract : As the growing demand for mobile communications is constantly increasing, the need for better coverage, improved capacity, and higher transmission quality rises. Thus, a more efficient use of the radio spectrum is required. A smart antenna system is capable of efficiently utilizing the radio spectrum and is an effective solution to the present wireless system problems while achieving reliable and robust high-speed, high-data-rate transmission. Smart antenna technology offer significantly improved solution to reduce interference level and improve system capacity. Smart antenna technology attempts to address this problem via advanced signal processing technology called beamforming. Adaptive beamforming is used for enhancing a desired signal while suppressing noise and interference at the output of an array of sensors. , in this paper work, a robust adaptive beamforming algorithm using smart antenna base station system, is to investigated its performance in presence of multipath components and multiple users .The capability of smart antenna and adaptive antenna easily employable to cognitive radio and OFDM system. Keywords - Smart/adaptive antenna, beamforming, DSP, OFDM
Rehabilitation Process and Persons with Physical DysfunctionsIOSR Journals
Abstract: The main purpose of this study is to determine rehabilitation process and persons with physical
dysfunctions. To achieve the purpose of this study, three hypotheses were formulated. Ex-post facto research
design was adopted for the study. A sample of one hundred persons with disabilities was randomly selected for
the study. The selection was done through the simple random sampling technique. This was to give equal and
independent opportunity to all the respondents to be selected for the study. The questionnaire was the major
instrument used for data collection. The instrument was subjected to both face and content validation by expert
in measurement and evaluation. The reliability estimate of the instrument was established through the test-retest
reliability method Pearson product correlation analysis and independent t-test were employed were adopted to
test the hypotheses at .05 level of significance. The result of the analysis reveals that rehabilitation significantly
relates with persons with orthopedic and neurological impairments. The result also revealed that there is a
significant difference between male and female disabled persons in their perception of rehabilitation of persons
with other health impairments.
Keywords: Rehabilitation process, persons, physical, dysfunctions.
Performance Analysis of Rake Receivers in IR–UWB System IOSR Journals
Suppression of interference in time domain equalizers is attempted for high data rate impulse
radio (IR) ultra wideband communication system. The narrow band systems may cause interference with UWB
devices as it is having very low transmission power and the large bandwidth. SRAKE receiver improves system
performance by equalizing signals from different paths. This enables the use of SRAKE receiver techniques in IR
UWB systems A semi analytical approach is used to investigate the BER performance of SRAKE receiver on
IEEE 802.15.3a UWB channel models. Study on non-line of sight indoor channel models (both CM3 and CM4)
illustrates that bit error rate performance of SRake receiver with NBI performs better than that of Rake receiver
without NBI
Abstract: Usually, evaluation of individual player performances in one-day cricket has been based on
measures such as batting and bowling averages, and strike and economy rates. It is accepted, within the game
of cricket, that such measures have severe limitations in assessing the true performances and abilities of
players. Whenever a player's performance statistics are quoted, there is nearly always some verbal prerequisite
that is necessary in order to place the statistics into context. Such comments include the stage of an innings a
player usually bats or bowls, as this significantly affects a player's opportunity for scoring runs or taking
wickets. Further, traditional measures do not allow the comparison of the skills of batting and bowling as they
are based on incompatible scales.
We have developed a new measure – Pressure Index. It measures the pressure under which the team is playing
or a batsman is batting. Variables such runs scored, runs left, wickets, balls faced and balls left are considered
for developing this new measure. Runs scored under more pressure are more valuable than runs scored under
very less pressure. With this Pressure index actual performance of the batsman can be measured. Similar
measure can be developed for bowlers.
Keywords: Pressure index, Current run rate, required run rate, Target.
Evaluation of Wash and Light Fastness of Some Selected Printed FabricsIOSR Journals
Abstract: The printed fabrics were subjected to ISO2, ISO3, and ISO4 wash fastness test and assessed for
change in colour and staining using the grey scale. The change in colour of the tested specimen and the staining
of the adjacent undyed cloths were assessed with the appropriate grey scales. The fabrics were also tested for
light fastness property. The specimen and the blue standard were exposed behind a glass and inserted into the
light fastness testing machine. Exposure was carried out for 48 hours. Based on the research carried out, it was
found that the selected foreign fabrics show a higher wash and light fastness property as compared to the local
fabrics which also show high wash and light fastness property.
Method of Fracture Surface Matching Based on Mathematical StatisticsIJRESJOURNAL
ABSTRACT: Fracture surface matching is an important part of point cloud registration. In this paper, a method of fracture surface matching based on mathematical statistics is proposed. We reconstruct a coordinate system of the fractured surface points, and analyze the characteristics of the point cloud in the new coordinate system, using the theory of mathematical statistcs. The general distribution of the points is determined. The method can realize the matching relation among some point cloud.
Template matching is a basic method in image analysis to extract useful information from images. In this
paper, we suggest a new method for pattern matching. Our method transform the template image from two
dimensional image into one dimensional vector. Also all sub-windows (same size of template) in the
reference image will transform into one dimensional vectors. The three similarity measures SAD, SSD, and
Euclidean are used to compute the likeness between template and all sub-windows in the reference image
to find the best match. The experimental results show the superior performance of the proposed method
over the conventional methods on various template of different sizes.
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
EXTENDED WAVELET TRANSFORM BASED IMAGE INPAINTING ALGORITHM FOR NATURAL SCENE...cscpconf
This paper proposes an exemplar based image inpainting using extended wavelet transform. The
Image inpainting modifies an image with the available information outside the region to be
inpainted in an undetectable way. The extended wavelet transform is in two dimensions. The
Laplacian pyramid is first used to capture the point discontinuities, and then followed by a
directional filter bank to link point discontinuities into linear structures. The proposed model
effectively captures the edges and contours of natural scene images
Extended hybrid region growing segmentation of point clouds with different re...csandit
In the recent years, 3D city reconstruction is one of the active researches in the field of
photogrammetry. The goal of this work is to improve and extend region growing based
segmentation in the X-Y-Z image in the form of 3D structured data with combination of spectral
information of RGB and grayscale image to extract building roofs, streets and vegetation. In
order to process 3D point clouds, hybrid segmentation is carried out in both object space and
image space. Our experiments on two case studies verify that updating plane parameters and
robust least squares plane fitting improves the results of building extraction especially in case
of low accurate point clouds. In addition, region growing in image space has been derived to
the fact that grayscale image is more flexible than RGB image and results in more realistic
building roofs.
EXTENDED HYBRID REGION GROWING SEGMENTATION OF POINT CLOUDS WITH DIFFERENT RE...cscpconf
In the recent years, 3D city reconstruction is one of the active researches in the field of photogrammetry. The goal of this work is to improve and extend region growing based
segmentation in the X-Y-Z image in the form of 3D structured data with combination of spectral information of RGB and grayscale image to extract building roofs, streets and vegetation. In order to process 3D point clouds, hybrid segmentation is carried out in both object space and
image space. Our experiments on two case studies verify that updating plane parameters and robust least squares plane fitting improves the results of building extraction especially in case of low accurate point clouds. In addition, region growing in image space has been derived to the fact that grayscale image is more flexible than RGB image and results in more realistic
building roofs.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
A STUDY AND ANALYSIS OF DIFFERENT EDGE DETECTION TECHNIQUEScscpconf
In the first study [1], a combination of K-means, watershed segmentation method, and Difference In Strength (DIS) map were used to perform image segmentation and edge detection
tasks. We obtained an initial segmentation based on K-means clustering technique. Starting from this, we used two techniques; the first is watershed technique with new merging
procedures based on mean intensity value to segment the image regions and to detect their boundaries. The second is edge strength technique to obtain accurate edge maps of our images without using watershed method. In this technique: We solved the problem of undesirable over segmentation results produced by the watershed algorithm, when used directly with raw data images. Also, the edge maps we obtained have no broken lines on entire image. In the 2nd study level set methods are used for the implementation of curve/interface evolution under various forces. In the third study the main idea is to detect regions (objects) boundaries, to isolate and extract individual components from a medical image. This is done using an active contours to detect regions in a given image, based on techniques of curve evolution, Mumford–Shah functional for segmentation and level sets. Once we classified our images into different intensity regions based on Markov Random Field. Then we detect regions whose boundaries are not necessarily defined by gradient by minimize an energy of Mumford–Shah functional forsegmentation, where in the level set formulation, the problem becomes a mean-curvature which will stop on the desired boundary. The stopping term does not depend on the gradient of the image as in the classical active contour. The initial curve of level set can be anywhere in the image, and interior contours are automatically detected. The final image segmentation is one
closed boundary per actual region in the image.
IMAGE SEGMENTATION BY MODIFIED MAP-ML ESTIMATIONScscpconf
Though numerous algorithms exist to perform image segmentation there are several issues
related to execution time of these algorithm. 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.
Though numerous algorithms exist to perform image segmentation there are several issues
related to execution time of these algorithm. 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.
Effect of grid adaptive interpolation over depth imagescsandit
A suitable interpolation method is essential to keep the noise level minimum along with the timedelay.
In recent years, many different interpolation filters have been developed for instance
H.264-6 tap filter, and AVS- 4 tap filter. This work demonstrates the effects of a four-tap lowpass
tap filter (Grid-adaptive filter) on a hole-filled depth image. This paper provides (i) a
general form of uniform interpolations for both integer and sub-pixel locations in terms of the
sampling interval and filter length, and (ii) compares the effect of different finite impulse
response filters on a depth-image. Furthermore, the author proposed and investigated an
integrated Grid-adaptive filter, that implement hole-filling and interpolation concurrently,
causes reduction in time-delay noticeably along with high PSNR .
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.
Image Inpainting Using Cloning AlgorithmsCSCJournals
In image recovery image inpainting has become essential content and crucial topic in research of a new era. The objective is to restore the image with the surrounding information or modifying an image in a way that looks natural for the viewer. The process involves transporting and diffusing image information. In this paper to inpaint an image cloning concept has been used. Multiscale transformation method is used for cloning process of an image inpainting. Results are compared with conventional methods namely Taylor expansion method, poisson editing, Shepard’s method. Experimental analysis verifies better results and shows that Shepard’s method using multiscale transformation not only restores small scale damages but also large damaged area and useful in duplication of image information in an image.
Hierarchical Approach for Total Variation Digital Image InpaintingIJCSEA Journal
The art of recovering an image from damage in an undetectable form is known as inpainting. The manual work of inpainting is most often a very time consum ing process. Due to digitalization of this technique, it is automatic and faster. In this paper, after the user selects the regions to be reconstructed, the algorithm automatically reconstruct the lost regions with the help of the information surrounding them. The existing methods perform very well when the region to be reconstructed is very small, but fails in proper reconstruction as the area increases. This paper describes a Hierarchical method by which the area to be inpainted is reduced in multiple levels and Total Variation(TV) method is used to inpaint in each level. This algorithm gives better performance when compared with other existing algorithms such as nearest neighbor interpolation, Inpainting through Blurring and Sobolev Inpainting.
Similar to Object Elimination and Reconstruction Using an Effective Inpainting Method (20)
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Object Elimination and Reconstruction Using an Effective Inpainting Method
1. IOSR Journal of Computer Engineering (IOSR-JCE)
e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 15, Issue 6 (Nov. - Dec. 2013), PP 64-68
www.iosrjournals.org
www.iosrjournals.org 64 | Page
Object Elimination and Reconstruction Using an Effective
Inpainting Method
Dharm Singh, Naveen Choudhary, Divya Kavdia
Department of Computer Science and Engineering, College of Technology and Engineering Maharana Pratap
University of Agriculture and Technology, Udaipur, Rajasthan, India
Abstract: Three major problems have been found in the existing algorithms of image inpainting:
Reconstruction of large regions, Preference of filling-in and Choice of best exemplars to synthesize the missing
region. The proposed algorithm introduces two ideas that deal with these problems preserving edge continuity
along with decrease in error propagation. The proposed algorithm introduces a modified priority computation
in order to generate better edges in the omitted region and to reduce the transmission of errors in the resultant
image a novel way to find optimal exemplar has been proposed. This proposal optimizes the reconstruction
process and increases the accuracy. The proposed algorithm removes blurness and builds edges efficiently
while reconstructing large target region.
Keywords: Image inpainting, texture synthesis, Image Completion, exemplar-based method.
I. Introduction
Image inpainting techniques are used to remove scratches in photographs, repairing damaged regions in
paintings and removing unwanted objects in an image. The challenge of present inpainting algorithms is to
reconstruct texture and structure information for large and thick damaged areas. Various tools are available for
restoring damaged old photographs. These tools require user intervention which need expertise in the software
functioning and is very time consuming. So, a technique is required that can automatically reconstructs the
damaged part of an image and is achieved by consulting the information from region other than damaged part, to
make the final resulting image look complete and plausible. A lot of studies have been made on Image
Inpainting to preserve both texture and structure information.
Inpainting algorithms can be majorly categorized in two different classes of algorithms i.e. Structure-
based method and Texture based method. The structure-based method uses PDEs (partial differential equation)
[1], [2] which obtains edge information for creation of linear edges from undamaged region by calculating the
vector perpendicular to the gradient. Hence, this method conserves all structure information of the image. As a
consequence, these techniques create some blur in the resulting image which becomes visible if reconstruction
of larger regions is done. These methods perform best for images which have pure structure or thin cracks.
These techniques are appropriate for reconstructing small and non-textured region. Second category is based on
texture synthesis in which textures are generated for larger image regions using sample textures. Texture based
algorithms fill in damaged or missed regions using rest of the available information of image, i.e. they try to
match statistics of damaged regions to statistics of known regions. But these techniques are unable to build
structures or edges of images.
The exemplar-based inpainting methods for texture synthesis contain the necessary procedure required
to reconstruct both texture and structure. These techniques plausibly and efficiently construct new texture by
replicating and sampling texture from undamaged region. These inpainting algorithms make use of priorities to
conserve structure by rearranging the synthesizing procedure [3].The product of two terms, confidence term and
data term, decides the priority of synthesizing order. After deciding the priority, patch-based texture synthesis
techniques searches for the most similar texture and then replicate them to fill the target region. Therefore
characteristic information i.e. texture and structure for large damaged regions are constructed.
This study adopts same notation which used in literature [3]. The region to be reconstructed is
represented by Ω (Target region) and its contour is symbolized by δΩ. The undamaged region from where
information is used to reconstruct the target region (Source region) is represented as Φ.
2. Object Elimination And Reconstruction Using An Effective Inpainting Method
www.iosrjournals.org 65 | Page
Fig.1. Structure Propagation in an image
Fig 1(a) illustrate an image, with the source region Φ, target region Ω and its contour δΩ. 1(b) shows the point
p, centre of the patch Ψp Є δΩ and its surrounded area. 1(c) shows the most similar candidate patches for Ψp in
the source region represented by Ψq’ and Ψq’’ and 1(d) shows the data propagation from the best matching
patch from the candidate set, results in partial filling of Ω. Thus, the structure as well as texture is constructed
and this process is continued iteratively until the entire missing region is filled.
II. Materials and Methods
The aim of this work is to propose an algorithm that can be use to reconstruct large areas of the image
efficiently and accurately. The Exemplar-based inpainting model depends entirely on the priority values. The
proposed inpainting algorithm provides the user with a capability of selecting the target region. This work uses a
free hand selection method to draw the region to inpaint. In Exemplar based algorithms target region is replaced
patch by patch. The patch generally entitled as the template window and denoted by ψ. The size of this window
is defined manually for the algorithm and can be varied according to the requirement. The size is generally
larger than the largest texture element in the source region. Once this parameter is assigned the remaining
process is completely automatic. The proposed algorithm is an extension of Criminisi [3] algorithm and pseudo
code is as follows
and is divided into three steps which are as follows:
2.1 Selection of patch to fill
Usually exemplar-based model uses onion-peel method as the default filling order where the target
region is reconstructed from outwards to inward and a higher filling priority is given to the exemplar which
holds more known information [5],[6]. Onion-peel filling generates good result, if texture pattern of single kind
is build[5].But, a single image can contain more than one texture pattern, separated by linear structures so filling
by onion-peel method is not suitable. So, the proposed method encourages propagation of structure along with
texture by best-first filling order which depends entirely on priority values. The priority computation for the
same is biased towards high-confidence pixels which are on the continuity of edges. The priorities for the patch
ψp, centered at a point p depends on two terms C(p) and D(p)
P(p) = C(p) . D(p)
where C(p) and D(p) represents the confidence term and the data term for the patch. The confidence term relies
on information in the patch which reflects the confidence in selecting that pixel. Hence, this term concentrates
Input: Image
Draw target region
Initialize C(p) = 0 for p
C(p) = 1 for p
Do (for p )
if
= Null then exit.
Else
compute P(p) = Rc(p)*D(p) for Ψp ϵ
( ) ( ) ( )
find exemplar patch Ψq ϵ ϕ
( Ψ Ψ ) ( Ψ Ψ ) × dH(Ψp, Ψq )
for p Ψq replicate to Ψp
update C(p) for p ϵ Ψp ∩
Output: Inpainted Image
3. Object Elimination And Reconstruction Using An Effective Inpainting Method
www.iosrjournals.org 66 | Page
on filling of patches that have most of its pixels filled. The confidence term solely enforces the filling from
outward to inward since the pixels on contours have more confidence value and therefore are filled prior to the
pixels in the middle of the target region. The confidence value does not change once the pixel has been filled.
The value of confidence term is initialized to 1 for all the pixels present in Φ(source region) and 0 value is given
to the pixels of Ω (target region) and is given by
( )
∑ ( )Ψ
|Ψ( )|
here, |ψp| represents area of the selected patch p[12]. Therefore, confidence term tells the ratio of the belief on
the current patch to the belief associated with a known patch.
The data term is defined as a function of strength of the isophotes hitting the fill front. This term is more biased
towards the selection of those patches that have contours in them. So, higher value of data term is given to
patches having edges in them. To preserve structures, it is very important to fill these regions first. The data
term is given by
( )
| |
Here, α represents normalization factor, np represents a unit vector orthogonal to the front and is the
perpendicular isophote at point p. Calculation of np is done by using the gradient for source region. The data
term increases with the normalization of the gradient | | and even when isophote becomes perpendicular to
the edge. The patch will have a strong linear structure when D(p) 1. Gradient modulus is rotationally
invariant due to which accuracy calculation directly affects the image.
The priority values of patches depend on both the confidence and the data terms. Use of the confidence term and
data term together assure that the patches that are filled earlier holds high confidence values and have structure
too. The single priority term handles the balance for all the patches on the fill front.
The values of confidence term are consistent except on areas where strong structures information exists. It is
observed that confidence terms values are decreasing too fast as its value variations are insignificant. Due to
this, a regularizing function RC(p) is used in this work to stabilize the values of the C(p) to match with data term
which is given by
( ) ( ) ( )
where ω is a the regularizing factor which controls the curve smoothness. This work uses ω=0.7. So, the new
priority function is calculated as
P = Rc(p)* D(p)
This new priority function resists undesired noises and is robust to the abovementioned procedure. The new
order of filling is more trustworthy and reliable. Now as the priorities for all the patches are computed,
maximum priority patch amongst them is selected, for which the suitable information is searched from the
source region.
2.2 Searching
Now as the highest priority patch Ψp is found, the next step is to search for the most similar patch from
the source region Φ. The patch chosen from source region to replicate Ψp, denoted by Ψq and is known as
candidate patch. Traditional inpainting techniques uses SSD(Sum of Squared Differences) as the parameter to
judge the similarity of two patches[13]. This parameter focuses only on the difference of values of
corresponding position of two patches ignoring the contribution of distance of current pixel to the damaged
pixel. Moreover, SSD does not use the whole information enclosed in Ψq as it is constrained only on current
pixel value and the region nearby this pixel [9],[2]. In [2] author pointed out that final results by this method are
not visually coherent as it can select visually different patches. This study proposed an improved metric that,
Image Euclidean Distance (IMED) to calculate patch distance as defined below [12],
(x, y) = [(x − y)T
G(x − y)]1/2
where, (x, y) represents Image Euclidean Distance. When k-nearest patches (Ψqi) are discovered the
patch with minimum distance is selected and its information is transferred to the target region [7].
2.3 Update
After we finding the best exemplar, the patch with maximum priority selected in the first step is
replaced with the best exemplar found in the previous step. Earlier, inpainting techniques use diffusion for
smoothing large regions of image which can create smudge in image.
The value of each pixel of optimal patch Ψ is filled in the corresponding pixels of Ψ . After filling the target
patch the confidence term of the patch is updated as follows:
C(p) = C(q)
where C(q) and C(q) are the confidence values of patches Ψ and Ψ [14]. Without specifying image parameters
this update rule measures relative confidence values of the patches of target region. The confidence values
4. Object Elimination And Reconstruction Using An Effective Inpainting Method
www.iosrjournals.org 67 | Page
decays as filling proceeds which indicates lack of surety about pixels near the middle of the target region. This
process is repeated iteratively till all the pixels on the fill-front are filled. The output of this procedure is the
inpainted image.
III. Results and Discussions
A variety of pure synthetic images and colour photographs which include complex texture and
structures are used to assess the efficiency of the proposed algorithm in reconstructing large objects. This
method restores the texture and structure of the target region and improves inpainting efficiency. The size of
patch in all the experiments is taken larger than the largest texture in the source region. The SSIM (Structural
Similarity Index) and PSNR (Peak Signal-to-Noise Ratio) are the parameters used for comparison of two
images. The SSIM index measures the quality of image by taking reference to the initial distortion free image.
SSIM uses the available structure information of the objects in the visual scene and any change in luminance,
structural information or contrast leads to image degradation.
Many real images used in this study are obtained from the literature on texture synthesis and from
BSD (Berkeley Segmentation Dataset) [11]. The size of image depicts how much time is required to inpaint the
target region. Block-based sampling procedure is used to achieve computational efficiency.
(a)
(b)
Fig. 2. Synthetic and Real Image example
The results of proposed algorithm are compared with the method of Criminisi to show improvement
and the validity of this method. Figure 2(a) shows a synthetic image and its target region is in blue color. The
reconstructed line smoothly continues the isophotes. Paint like program is used to draw this image manually.
Figure 2(b) shows a real Image its inpainting result. Even though the size of the removed region is large, the
edge in the inpainted region of both images is sharp and continues.
Figure 3 shows comparison of the proposed algorithm with the algorithm proposed by Criminisi [8].
The images in 3(a) are the original images, 3(b) shows the inpainted results images by Criminisi[8] and 3(c)
shows the results by proposed algorithm. Criminisi’s algorithm [8] introduces inconsistent edge structures in
images and some unpleasant artifacts are introduced. Following table shows the PSNR and SSIM of various
images.
5. Object Elimination And Reconstruction Using An Effective Inpainting Method
www.iosrjournals.org 68 | Page
(a) (b) (c)
Fig. 3. Comparison of results with Criminisi[14].
Table 1. Comparison of PSNR of inpainting results of Criminisi et al and proposed algorithm.
Image
Number
PSNR of
Criminisi
PSNR of
Proposed method
SSIM of Proposed
Method
COW 40.36 52.6359 0.9999
RED
COLOR
26.48 35.2744 0.9997
GIRL 33.16 48.3513 0.9998
BIRD 33.22 47.0473 0.9998
IV. Conclusion
The experiments results show that proposed method is capable in recovering the large or small
damaged region effectively maintaining the texture uniformity and the edge continuity for a good visual quality
even if the missing details are complex and inhomogeneous. The improved filling order and priority term
calculation of proposed algorithm shows advantages of better reconstruction of linear edges and two-
dimensional texture with reduction in error propagation more robustly. The evaluations on natural and synthetic
images show encouraging results and better performance than fundamental algorithm. One main problem with
this method is the increment in time when target region is very large. Second it starts growing junk for some
textures or stays on one place in the sample image and produce fussy copies of the original. These problems
occur when the source region contains too many different types of textures which create ambiguity in finding
close matches. Many exemplar-based approaches have this common constraint. Future work includes
incorporation of the human-labeled structure and other feasible methods into the inpainting algorithms to
recover totally removed structure. This work can also be extended to repair damaged videos and 3D data.
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