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Next generation image compression standards: JPEG XR and AICTouradj Ebrahimi
Invited talk at Mobile Multimedia/Image Processing, Security, and Applications 2009, SPIE Defense, Security and Sensing Symposium, Orlando, FL, April 13-17, 2009
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
This is the first part of the presentation series on one of the powerful open sources libraries, the opencv. this presentation is about the introduction, installation, some basic functions on images and some basic image processing on the images
Next generation image compression standards: JPEG XR and AICTouradj Ebrahimi
Invited talk at Mobile Multimedia/Image Processing, Security, and Applications 2009, SPIE Defense, Security and Sensing Symposium, Orlando, FL, April 13-17, 2009
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
This is the first part of the presentation series on one of the powerful open sources libraries, the opencv. this presentation is about the introduction, installation, some basic functions on images and some basic image processing on the images
This presentation is about JPEG compression algorithm. It briefly describes all the underlying steps in JPEG compression like picture preparation, DCT, Quantization, Rendering and Encoding.
Introduction to Digital Image Processing Using MATLABRay Phan
This was a 3 hour presentation given to undergraduate and graduate students at Ryerson University in Toronto, Ontario, Canada on an introduction to Digital Image Processing using the MATLAB programming environment. This should provide the basics of performing the most common image processing tasks, as well as providing an introduction to how digital images work and how they're formed.
You can access the images and code that I created and used here: https://www.dropbox.com/sh/s7trtj4xngy3cpq/AAAoAK7Lf-aDRCDFOzYQW64ka?dl=0
Detection and tracking of red color by using matlabAbhiraj Bohra
This program just tracks all red color objects and draws a bounding box around them. This works on the difference between frames concept. Every frame in the video is returned as an rgb image on which we can do image processing.
Ukrainian Catholic University
Faculty of Applied Sciences
Data Science Master Program
January 22nd
Abstract. Today virtual and augmented reality applications become more and more popular. Such a trend creates a demand for 3D processing algorithms which may be applied to many areas. This work is focused on sigh language video sequences. There are a lot of prerecorded photos and video dictionaries that can be transformed into 3D and unified in one place. We research nuances of hand pose video sequence analysis as well as the influence of results refinement for 2D and 3D keypoint detection. Besides that, we designed a solution for the parametrization of hand shape and engineered system for 3D hand pose reconstruction. Model show good results on train data but lack generalization. Retraining on multiple datasets and usage of various data augmentation techniques will improve performance.
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This presentation is about JPEG compression algorithm. It briefly describes all the underlying steps in JPEG compression like picture preparation, DCT, Quantization, Rendering and Encoding.
Introduction to Digital Image Processing Using MATLABRay Phan
This was a 3 hour presentation given to undergraduate and graduate students at Ryerson University in Toronto, Ontario, Canada on an introduction to Digital Image Processing using the MATLAB programming environment. This should provide the basics of performing the most common image processing tasks, as well as providing an introduction to how digital images work and how they're formed.
You can access the images and code that I created and used here: https://www.dropbox.com/sh/s7trtj4xngy3cpq/AAAoAK7Lf-aDRCDFOzYQW64ka?dl=0
Detection and tracking of red color by using matlabAbhiraj Bohra
This program just tracks all red color objects and draws a bounding box around them. This works on the difference between frames concept. Every frame in the video is returned as an rgb image on which we can do image processing.
Ukrainian Catholic University
Faculty of Applied Sciences
Data Science Master Program
January 22nd
Abstract. Today virtual and augmented reality applications become more and more popular. Such a trend creates a demand for 3D processing algorithms which may be applied to many areas. This work is focused on sigh language video sequences. There are a lot of prerecorded photos and video dictionaries that can be transformed into 3D and unified in one place. We research nuances of hand pose video sequence analysis as well as the influence of results refinement for 2D and 3D keypoint detection. Besides that, we designed a solution for the parametrization of hand shape and engineered system for 3D hand pose reconstruction. Model show good results on train data but lack generalization. Retraining on multiple datasets and usage of various data augmentation techniques will improve performance.
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Application of parallel algorithm approach for performance optimization of oi...sipij
This paper gives a detailed study on the performance of image filter algorithm with various parameters
applied on an image of RGB model. There are various popular image filters, which consumes large amount
of computing resources for processing. Oil paint image filter is one of the very interesting filters, which is
very performance hungry. Current research tries to find improvement in oil paint image filter algorithm by
using parallel pattern library. With increasing kernel-size, the processing time of oil paint image filter
algorithm increases exponentially. I have also observed in various blogs and forums, the questions for
faster oil paint have been asked repeatedly.
Implementation of embedded arm9 platform using qt and open cv for human upper...Krunal Patel
: In this Paper, A novel architecture for automotive vision using an embedded device will be
implemented on ARM9 Board with highly computing capabilities and low processing power. Currently,
achieving real-time image processing routines such as convolution, thresholding, edge detection and some of the
complex media applications is a challenging task in embedded Device, because of limited memory. An open
software framework, Linux OS is used in embedded devices to provide a good starting point for developing the
multitasking kernel, integrated with communication protocols, data management and graphical user interface for
reducing the total development time. To resolve the problems faced by the image processing applications in
embedded Device a new application environment was developed. This environment provides the resources
available in the operating system which runs on the hardware with complex image processing libraries. This
paper presents the capture of an image from the USB camera, applied to image processing algorithms to Detect
Human Upper Body. The application (GUI) Graphical User Interface was designed using Qt and ARM Linux
gcc Integrated Development Environment (IDE) for implementing image processing algorithm using Open
Source Computer Vision Library (OpenCV). This developed software integrated in mobiles by the cross
compilation of Qt and the OpenCV software for Linux Operating system. The result utilized by Viola and Jones
Algorithm with Haar Features of the image using OpenCV.
HARDWARE SOFTWARE CO-SIMULATION FOR TRAFFIC LOAD COMPUTATION USING MATLAB SIM...ijcsity
Due to increase in number of vehicles, Traffic is a major problem faced in urban areas throughout the
world. This document presents a newly developed Matlab Simulink model to compute traffic load for real
time traffic signal control. Signal processing, video and image processing and Xilinx Blockset have been
extensively used for traffic load computation. The approach used is Edge detection operation, wherein,
Edges are extracted to identify the number of vehicles. The developed model computes the results with
greater degrees of accuracy and is capable of being used to set the green signal duration so as to release
the traffic dynamically on traffic junctions.
Xilinx System Generator (XSG) provides Simulink Blockset for several hardware operations that could be
implemented on various Xilinx Field programmable gate arrays (FPGAs). The method described in this
paper involves object feature identification and detection. Xilinx System Generator provides some blocks to
transform data provided from the software side of the simulation environment to the hardware side. In our
case it is MATLAB Simulink to System Generator blocks. This is an important concept to understand in the
design process using Xilinx System Generator. The Xilinx System Generator, embedded in MATLAB
Simulink is used to program the model and then test on the FPGA board using the properties of hardware
co-simulation tools.
Reusable Video IP Cores give software engineering service providers flexibility and less time to market while catering to the ever increasing demands of customers. Read on to know more about the Reusable IP Cores developed by NeST Software.
Link: http://www.vslcreations.com/2017/12/smart-face-recognition-system-using.html
Smart Face Recognition System using Python & PHP build with dlib 99.38% accurate. The objective of this project is to build smart face recognition system that can be easily implemented from multiple clients Android, Web App & using IP Cameras real-time wireless face recognition can be achieved in ATMs, banks, offices etc. The main idea is to create a backend python server & service that will process the bank API and predict the confidence of image provided. Further, the results will be sent back again to bank API with the confidence of prediction.
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2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
1. International Journal of Engineering and Technical Research (IJETR)
ISSN: 2321-0869, Volume-1, Issue-8, October 2013
14 www.erpublication.org
Abstract— The most interesting application of image
processing is Image registration, which can be shown as initial
stage of Image Fusion. It can be used for making panoramic
image which is the combination of two or more images from the
same scene. Many image processing applications are implement
on DSP processor i.e. edge detection, object tracking, motion
detection etc. This paper contains the MATLAB Simulink model
for Image registration and it is configured on DM6437EVM
processor. It is the latest Da-Vinchi video processor and fulfils
all the requirements for Image Registration. The results for
different images are taken and also compared with the results of
MATLAB software. To improve the results, filters are also
applied. The block for unsharp filter is also shown with
registration result.
Index Terms— Da-Vinchi video processor, MATLAB
Simulink model, Panorama image, Unsharp filter
I. INTRODUCTION
Image Registration is the geometric alignment of two or more
images from the same scene to make one panoramic image. It
is a technique for creating images which cannot be created by
a single frame of the camera i.e. satellite imagery [1]. In
algorithm of Image Registration, the user gives a series of
pictures with overlapping regions and obtained one large
image with all the pictures merged as accurately as possible
and that image is called as panorama image. The target of this
paper is to make MATLAB Simulink modal for image
registration algorithm and then configured the modal on
DM6437EVM video processor. The results obtained from the
simulation will be compared with the results of MATLAB
program in the following section.
This Simulink model is for automatic featured based image
registration. This registration will be performed using point
correspondences between the two images. The goal of
registration is to establish geometric correspondence between
the images [1]. It can be used for solving a variety of problems
in image processing such as object recognition, monitoring
satellite images, matching stereo images for reconstructing
depth, matching biomedical images for diagnosis etc. [3].
Registration is also the central task of image mosaicking
procedures [2].
Manuscript received September 28, 2013.
Megha M Pandya, ME Student, Department of Electronics &
Communication, Sardar Vallabhbhai Patel Institute Of Technology(SVIT)
Nehal G Chitaliya, Department of Electronics & Communication,
Sardar Vallabhbhai Patel Institute Of Technology(SVIT),
Sandip R Panchal, Research Scholar, E & C Eng. Dept., CHARUSAT,
Changa
To improve the quality of panoramic image, the number
of matching points from both the images must be increased.
For that many filter operators i.e. log filter, sobel filter,
prewitt filter, unsharp filter etc. are applied to original
reference images using MATLAB program. By comparing
the results, unsharp filter is the best to get increased matching
points. So the block for unsharp filter will also add to the
Simulink model and verify the results.
II. FLOW OF IMAGE REGISTRATION WITH
EXAMPLE
The flow for Image Registration can be shown as given
below:
Fig. 1. Flow of Image Registration [2]
For image registration, two reference images are taken from
the same scene. Detect the feature points in both the images,
match the points and by using that points estimate
transformation model. Register both the images to make
panoramic image. The example of it is as shown below.
Automatic Image Registration using MATLAB
Simulink model configured on DM6437EVM
processor
Megha M Pandya, Nehal G Chitaliya and Sandip R Panchal
2. Automatic Image Registration using MATLAB Simulink model configured on DM6437EVM processor
15 www.erpublication.org
Fig. 2. Example of Image Registration
III. FEATURES OF DM6437EVM DA-VINCHI
PROCESSOR
The image of Da-Vinchi DM6437EVM video processor
is as shown below:
Fig. 3. DM6437EVM video processor
The DM6437 EVM is a PCI based or standalone
development platform that enables users to evaluate and
develop applications for the TI DaVinci processor family.
The EVM comes with a full complement of on board devices
that suit a wide variety of application environments.The key
features of the digital media 6437 EVM processor are given
as [4]:
• DM6437 processor operating up to 600 Mhz.
• 1 TVP5146M2 video decoder, supports composite or S
video
• 4 video DAC outputs - component, RGB, composite (3
populated)
• 128 Mbytes of DDR2 DRAM
• UART, CAN I/O Interfaces
• 16 Mbytes of non-volatile Flash memory, 64 Mbytes NAND
Flash, 2 Mbytes SRAM
• 10/100 MBS Ethernet Interface
• Configurable boot load options
• Embedded JTAG emulation interface
• 4 user LEDs and 4 position user switch
• Single voltage power supply (+5V)
IV. MATLAB SIMULINK MODEL
WITH BLOCKS
Image Registration can be performed by using MATLAB
Simulink model. The model contains different blocks for
every steps of registration as shown previously. To make
Simulink modal, computer vision system toolbox is main
requirement. Computer Vision System Toolbox provides
algorithms and tools for the design and simulation of
computer vision and video processing systems. These
capabilities are provided as MATLAB functions, MATLAB
System objects, and Simulink blocks. The system toolbox
includes algorithms for feature extraction, motion detection,
object tracking, stereo vision, video processing, and video
analysis. Tools include video file I/O, video display, drawing
graphics, and compositing. For rapid prototyping and
embedded system design, the system toolbox supports
fixed-point arithmetic and C-code generation.
First, the simulation model for Image Registration is
shown and then input and display blocks. The simulation
model with target preference block is as shown below. The
block can be added under Target Support Package TI
C6000→Target Preferences. From that the Simulink model
can be configured on the specific processor.
Fig. 4. Simulink model configured on DM6437VM processor
A. INPUT block without applying filter
Fig. 5. input block without applying filter
The .avi video file is given as input from the file saved in
computer then every 20th
frame is taken using Frame rate
down sampling block. Then resize block add so any size of
frame can be proceed. Frame image is in the RGB format.
Convert it in intensity using RGB to intensity colour space
conversion.
B. DISPLAY block of model
Fig. 6. display block of Simulink model
Use video display block of DM6437 under Target
Support Package→Supported Processors→TI
C6000→Board Support→DM6437EVM, found Video
display block. Set Sample Time to -1. For that RGB signals
are converted into YCbCr signals.
3. International Journal of Engineering and Technical Research (IJETR)
ISSN: 2321-0869, Volume-1, Issue-8, October 2013
16 www.erpublication.org
C. INPUT block with Unsharp Filter
In MATLAB program, to increase the number of matching
points unsharp filter is applied to reference image. Image
Registration with processed image is also implementing on
Simulink model. For that only input block has been changed
from previous as shown below:
Fig. 7. input block with Unsharp filter
For Unsharp filter, MATLAB function block is added as
shown below:
D. Settings of Target Preference
To configure the Simulink model on DM6437EVM
processor, the following settings must be done for the target
preference block. This is the window to set the board on
which it has to be implemented.
This window shows how the physical memory is
distributed and which addresses are allotted to them.
V. EXPERIMENTAL RESULTS
The MATLAB Simulink model is applied for
different .avi files and the results that obtained is as shown
below.
A. Image Registration without filter
B. Image Registration with Unsharp filter
C. Comparison with Result of MATLAB program
4. Automatic Image Registration using MATLAB Simulink model configured on DM6437EVM processor
17 www.erpublication.org
From the above images, it can be concluded that results from
MATLAB program and Simulink model are approximately
equal.
VI. CONCLUSION
After completing the Simulink model and configured it with
target reference DM6437EVM processor, it can be concluded
that Image registration can also be implemented on actual
hardware. By applying unsharp filter, improved registration
image can be obtained. The results are similar to MATLAB
program.
ACKNOWLEDGMENT
The authors would like to thank the anonymous reviewers
whose suggestions significantly improved the focus, quality,
clarity, and readability of this paper. And also Heartly
thankful to the college, by which the stage for this kind of
research has been provided.
REFERENCES
[1] Ms.Durga Patidar, Mr.Akshy Jain, ―Automatic Image Mosaicing: An
Approach Based on FFT‖, International Journal of Scientific
Engineering and Technology(ISSN:Applied)
Volume No.1,Issue No.1 pg:01-04
[2] Barbara, Zitova, J., Flusser, ―Image Registration methods: a survey‖,
Image and Vision Computing, Vol. 21, No. 11, pp. 977-1000, 2003.
[3] ViniVidyadharan, SubuSurendran, ―Automatic Image Registration
using SIFT-NCC‖, Special Issue of International Journal of Computer
Applications (0975 – 8887) on Advanced Computing and
Communication Technologies for HPC Applications - ACCTHPCA,
June 2012.
[4] Texas Instrumantation (TI) DM6437EVM Da-Vinchi video processor
Datasheet