Towards robust image steganography
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Towards Robust Image Steganography To buy this project in ONLINE, Contact: Email: jpinfotechprojects@gmail.com, Website: https://www.jpinfotech.org
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K03502056061
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Ec36783787
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.
Revealing the trace of high quality jpeg
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Revealing the trace of high quality jpeg
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Comparison of different Fingerprint Compression Techniques
The important features of wavelet transform and different methods in compression of fingerprint images have been implemented. Image quality is measured objectively using peak signal to noise ratio (PSNR) and mean square error (MSE).A comparative study using discrete cosine transform based Joint Photographic Experts Group(JPEG) standard , wavelet based basic Set Partitioning in Hierarchical trees(SPIHT) and Modified SPIHT is done. The comparison shows that Modified SPIHT offers better compression than basic SPIHT and JPEG. The results will help application developers to choose a good wavelet compression system for their applications.
Compression of digital voice and video
Digital data compression reduces transmission bandwidth requirements by removing redundant data. There are two types: lossy compression which permanently removes some data, and lossless compression which does not. Common lossy compression standards are JPEG for images and MP3 for audio, while ZIP files use lossless compression. The limits of lossy compression are determined by information theory concepts like source entropy.
steganography based image compression
The intention of image compression is to discard worthless data from image so as to shrink the quantity of data bits favored for image depiction, to lessen the storage space, broadcast bandwidth and time. Likewise, data hiding convenes scenarios by implanting the unfamiliar data into a picture in invisibility manner. The review offers, a method of image compression approaches by using DWT transform employing steganography scheme together in combination of SPIHT to compress an image.
Jpeg and mpeg ppt
The document introduces JPEG and MPEG standards for image and video compression. JPEG uses DCT, quantization and entropy coding on 8x8 pixel blocks to remove spatial redundancy in images. MPEG builds on JPEG and additionally removes temporal redundancy between video frames using motion compensation in interframe coding of P and B frames. MPEG-1 was designed for video at 1.5Mbps while MPEG-2 supports digital TV and DVD with rates over 4Mbps. Later MPEG standards provide more capabilities for multimedia delivery and interaction.
Recommended
K03502056061
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Ec36783787
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.
Revealing the trace of high quality jpeg
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Revealing the trace of high quality jpeg
To get this project in ONLINE or through TRAINING Sessions,
Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Comparison of different Fingerprint Compression Techniques
The important features of wavelet transform and different methods in compression of fingerprint images have been implemented. Image quality is measured objectively using peak signal to noise ratio (PSNR) and mean square error (MSE).A comparative study using discrete cosine transform based Joint Photographic Experts Group(JPEG) standard , wavelet based basic Set Partitioning in Hierarchical trees(SPIHT) and Modified SPIHT is done. The comparison shows that Modified SPIHT offers better compression than basic SPIHT and JPEG. The results will help application developers to choose a good wavelet compression system for their applications.
Compression of digital voice and video
Digital data compression reduces transmission bandwidth requirements by removing redundant data. There are two types: lossy compression which permanently removes some data, and lossless compression which does not. Common lossy compression standards are JPEG for images and MP3 for audio, while ZIP files use lossless compression. The limits of lossy compression are determined by information theory concepts like source entropy.
steganography based image compression
The intention of image compression is to discard worthless data from image so as to shrink the quantity of data bits favored for image depiction, to lessen the storage space, broadcast bandwidth and time. Likewise, data hiding convenes scenarios by implanting the unfamiliar data into a picture in invisibility manner. The review offers, a method of image compression approaches by using DWT transform employing steganography scheme together in combination of SPIHT to compress an image.
Jpeg and mpeg ppt
The document introduces JPEG and MPEG standards for image and video compression. JPEG uses DCT, quantization and entropy coding on 8x8 pixel blocks to remove spatial redundancy in images. MPEG builds on JPEG and additionally removes temporal redundancy between video frames using motion compensation in interframe coding of P and B frames. MPEG-1 was designed for video at 1.5Mbps while MPEG-2 supports digital TV and DVD with rates over 4Mbps. Later MPEG standards provide more capabilities for multimedia delivery and interaction.
Abstract
The document proposes a new blind authentication method for grayscale document images using secret sharing and PNG images. An authentication signal is generated for each image block and transformed into shares embedded in the alpha channel plane of a PNG image. During authentication, tampered blocks are detected by comparing block signals to extracted shares. A data repair capability fixes tampered pixels by collecting shares from untampered blocks. The method aims to authenticate images while maintaining visual quality and preventing tampering detection.
Input based dynamic reconfiguration of
VLSI Projects for M. Tech, VLSI Projects in Vijayanagar, VLSI Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, VLSI IEEE projects in Bangalore, IEEE 2015 VLSI Projects, FPGA and Xilinx Projects, FPGA and Xilinx Projects in Bangalore, FPGA and Xilinx Projects in Vijayangar
Project presentation image compression by manish myst, ssgbcoet
This document discusses different image compression formats including GIF, PNG, JPEG, and MNG. It provides details on each format such as the algorithms and applications used. GIF uses LZW lossless compression while JPEG uses lossy compression to reduce file sizes. PNG also uses lossless compression with DEFLATE and prediction algorithms. The objective of image compression is to reduce file sizes by eliminating redundant image data through either lossy or lossless compression methods.
SasuriE ajal
The document discusses and compares different steganographic algorithms and steganalysis techniques. It defines steganography and steganalysis, describing various steganographic schemes like LSB embedding, Outguess, F5, and Model-based steganography. It also covers past and modern work in steganalysis, including statistical methods for detecting hidden messages. The document concludes by discussing the future of steganography and its potential limitations under laws.
Input-Based Dynamic Reconfiguration of Approximate Arithmetic Units for Video...
Input-Based Dynamic Reconfiguration of Approximate Arithmetic Units for Video...Pvrtechnologies Nellore
This document proposes a reconfigurable approximate architecture for MPEG encoders that optimizes power consumption while maintaining a particular Peak Signal-to-Noise Ratio threshold for any input video. It designs reconfigurable adder/subtractor blocks that can modulate their degree of approximation, and integrates them into the motion estimation and discrete cosine transform modules of the MPEG encoder. Experimental results show the approach dynamically adjusts the degree of hardware approximation based on the input video to respect the given quality bound across different videos while achieving up to a 38% power saving over a conventional non-approximated MPEG encoder architecture.Â
IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS Designing an efficient image encr...
IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS Designing an efficient image encr...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.orgÂ
JPM1404 Designing an Efficient Image Encryption-Then-Compression System via...
JP INFOTECH is one of the leading Matlab projects provider in Chennai having experience faculties. We have list of image processing projects as our own and also we can make projects based on your own base paper concept also.
For more details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/matlab-projects/
Revealing the trace of high
This paper proposes a novel method for identifying JPEG compressed images through analysis of quantization noise. It defines "forward quantization noise" and shows that decompressed JPEG images have lower variance of this noise than uncompressed images. It develops a simple detection algorithm based on this conclusion that outperforms state-of-the-art methods, especially for high-quality compressed images. The method is robust and can be applied to identify JPEG compression in practical applications like image classification and forgery detection.
Adaptive-Quality Image Compression Algorithm
The document describes an adaptive-quality image compression (AQIC) algorithm that aims to achieve a high compression ratio while preserving image quality. The algorithm works by identifying the most common colors and least common colors in an image. It then develops an efficient binary encoding for each color, ensuring exact retrieval of common colors and minimal approximation of uncommon colors. Experimental results showed the AQIC algorithm achieved a compression ratio of around 1.6 with a peak signal-to-noise ratio over 30 decibels, outperforming other compression methods like JPEG in terms of quality.
A Novel Approach for Compressing Surveillance System Videos
The surveillance systems are expected to record the videos in 24/7 and obviously it requires a huge storage space. Even though the hard disks are cheaper today, the number of CCTV cameras is also vertically increasing in order to boost up security. The video compression techniques is the only better option to reduce required the storage space; however, the existing video compression techniques are not adequate at all for the modern digital surveillance system monitoring as they require huge video streams. In this paper, a novel video compression technique is presented with a critical analysis of the experimental results.
NEW IMPROVED 2D SVD BASED ALGORITHM FOR VIDEO CODING
Video compression is one of the most important blocks of an image acquisition system.
Compression of video results in reduction of transmission bandwidth. In real time video
compression the incoming video data is directly compressed without being stored first.
Therefore real time video compression system operates under stringent timing constraints.
Current video compression standards like MPEG, H.26x series, involve emotion estimation and
compensation blocks which are highly computationally expensive and hence they are not
suitable for real time applications on resource scarce systems. Current applications like video
calling, video conferencing require low complexity video compression algorithms so that they
can be implemented in environments that have scarce computational resources (like mobile
phones). A low complexity video compression algorithm based on 2D SVD exists. In this paper, a modification to that algorithm which provides higher PSNR at the same bit rate is presented.
JPM1406 Dual-Geometric Neighbor Embedding for Image Super Resolution With Sp...
This document proposes a dual-geometric neighbor embedding (DGNE) approach for single image super resolution (SISR) that considers image patches as multiview data with spatial organization. DGNE explores multiview features and local spatial neighbors of patches to find a feature-spatial manifold embedding for images. It assumes patches from the same manifold will lie in a low-dimensional affine subspace, and uses tensor-simultaneous orthogonal matching pursuit to find sparse neighbors and realize joint sparse coding of feature-spatial image tensors. Experiments show it provides efficient and superior recovery compared to other methods.
IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS Fingerprint compression-based-on-...
IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS Fingerprint compression-based-on-...IEEEBEBTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.orgÂ
video comparison
Digital video is, a sequence of images, called frames, displayed at a certain frame rate (so many frames per second, or fps) to create the illusion of animation.
A Novel Optimum Technique for JPEG 2000 Post Compression Rate Distortion Algo...
The new technique we proposed in this paper based
on Hidden Markov Model in the field of post compression rate
distortion algorithms certainly meet the requirements of high
quality still images. The existing technology has been
extensively applied in modern image processing. Development
of image compression algorithms is becoming increasingly
important for obtaining a more informative image from several
source images captured by different modes of imaging systems
or multiple sensors. The JPEG 2000 image compression
standard is very sensitive to errors. The JPEG2000 system
provides scalability with respect to quality, resolution and
color component in the transfer of images. But some of the
applications need certainly qualitative images at the output
ends. In our architecture the Proto-object also introduced as
the input ant bit rate allocation and rate distortion has been
discussed for the output image with high resolution. In this
paper, we have also discussed our novel response dependent
condensation image compression which has given scope to go
for this post compression Rate Distortion Algorithm (PCRD)
of JPEG 2000 standard. This proposed technique outperforms
the existing methods in terms of increasing efficiency,
optimum PSNR values at different bpp levels. The proposed
technique involves Hidden Markov Model to meet the
requirements for higher scalability and also to increase the
memory storage capacity.
International Journal of Engineering Research and Development (IJERD)
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Survey paper on image compression techniques
This document summarizes and compares several popular image compression techniques: wavelet compression, JPEG/DCT compression, vector quantization (VQ), fractal compression, and genetic algorithm compression. It finds that all techniques perform satisfactorily at 0.5 bits per pixel, but for very low bit rates like 0.25 bpp, wavelet compression techniques like EZW perform best in terms of compression ratio and quality. Specifically, EZW and JPEG are more practical than others at low bit rates. The document also notes advantages and disadvantages of each technique and concludes hybrid approaches may achieve even higher compression ratios while maintaining image quality.
Rate Distortion Performance for Joint Source Channel Coding of JPEG image Ove...
1) The document discusses joint source-channel coding (JSCC) schemes for transmitting JPEG images over AWGN channels.
2) It proposes using JSCC with unequal error protection (UEP), applying stronger channel coding to important DC coefficients and weaker coding to less important AC coefficients.
3) The goal is to improve received image quality compared to equal error protection (EEP) schemes by providing varying levels of protection according to data importance.
Narendra achari.s
This document discusses high level FPGA modeling for image processing using Xilinx System Generator. It describes how image processing tasks can be implemented using Xilinx System Generator within Simulink. It provides examples of implementing different image processing operations like image negative, enhancement, and contrast stretching. It also describes the hardware co-simulation flow and results showing the input and output images for different operations.
IRJET- RGB Image Compression using Multi-Level Block Trunction Code Algor...
This document proposes a multi-level block truncation code algorithm for RGB image compression to achieve low bit rates and high quality. The algorithm combines bit mapping and quantization by dividing images into blocks, calculating thresholds, quantizing thresholds, and representing blocks with bit maps. It was tested on standard images like flowers, Lena, and baboon. Results showed improved peak signal-to-noise ratio and mean squared error compared to existing methods, demonstrating the effectiveness of the proposed multi-level block truncation code algorithm for image compression.
Java Web Application Project Titles 2023-2024.pdf
Java Web Application Project Titles 2023-2024.
đEmail: jpinfotechprojects@gmail.com,
đWebsite: https://www.jpinfotech.org
đMOBILE: (+91)9952649690.
Java Application Projects 2023 - 2024
Java Web Application Project Titles
E-Authentication System using QR Code and OTP
Student Attendance System Using QR-Code
Hall Ticket Generation System with Integrated QR Code
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QR Code-based Smart Vehicle Parking Management System
Employee Attendance System using QR Code
QR Code based Secure Online Voting System
QR Code Based Smart Online Student Attendance System
Cyber Security Projects
Detecting Malicious Facebook Applications
Detection of Bullying Messages in Social Media
Enhanced Secure Login System using Captcha as Graphical Passwords
Filtering Unwanted Messages in Online Social Networking User walls
Secure Online Transaction System with Cryptography
Detecting Mobile Malicious Webpages in Real Time
Credit Card Fraud Detection in Online Shopping System
Enhanced Data Security with Onion Encryption and Key Rotation
Detection of Offensive Messages in Social Media to Protect Online Safety
Healthcare Projects
Diabetes Prediction using Data Mining in Healthcare Management System
Online Hospital Management System
Online Oxygen Management System
Enhanced Hospital Admission System to Mitigate Crowding
Online Parking Booking System
E-Pass Management System | Curfew e-pass management system
Online Tender Management System
Online Toll Gate Management System
Online Election System
Panchayat Union Automation System
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Visa Processing Management System
Cricket Win Predictor using Machine Learning
College Management System
Online college Counselling system
Online No Dues Management System
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Online Tuition Management System
Bike Store Management System
Computer Inventory System
Distilled Water Management System
Donation Tracking System | Online Charity Management System
Online Bug Tracking System
Online Content Based Image Retrieval System with Ranking Model
Online Crime File Management System
Online Courier Management System
Online Blood Bank Management System
Online Secure Organ Donation Management System
Connecting Social Media to E-Commerce
Twitter Based Tweet Summarization
Mental Disorders Detection via Online Social Media Mining
Detecting Stress Based on Social Interactions in Social Networks
Knowledge Sharing Based Online Social Network with Question and Answering System
Predicting Suicide Intuition in Online Social Network
Predicting Emotions of User in Online Social Network
Employee Payroll Management System
Human Resource Management System
Online Employee Tracking System
College Admission Predictor
Online Book Recommendation System
Personalized Movie Recommendation System
Product Recommendation System in Online Social Network
Mining Online Product Evaluation System based on Ratings and Review Comments
Online Book Buying and Selling
Dot Net Final Year IEEE Project Titles.pdf
Dot Net Final Year IEEE Project Titles.pdf
đEmail: jpinfotechprojects@gmail.com,
đWebsite: https://www.jpinfotech.org
đMOBILE: (+91)9952649690.
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Similar to Towards robust image steganography
Abstract
The document proposes a new blind authentication method for grayscale document images using secret sharing and PNG images. An authentication signal is generated for each image block and transformed into shares embedded in the alpha channel plane of a PNG image. During authentication, tampered blocks are detected by comparing block signals to extracted shares. A data repair capability fixes tampered pixels by collecting shares from untampered blocks. The method aims to authenticate images while maintaining visual quality and preventing tampering detection.
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Project presentation image compression by manish myst, ssgbcoet
This document discusses different image compression formats including GIF, PNG, JPEG, and MNG. It provides details on each format such as the algorithms and applications used. GIF uses LZW lossless compression while JPEG uses lossy compression to reduce file sizes. PNG also uses lossless compression with DEFLATE and prediction algorithms. The objective of image compression is to reduce file sizes by eliminating redundant image data through either lossy or lossless compression methods.
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The document discusses and compares different steganographic algorithms and steganalysis techniques. It defines steganography and steganalysis, describing various steganographic schemes like LSB embedding, Outguess, F5, and Model-based steganography. It also covers past and modern work in steganalysis, including statistical methods for detecting hidden messages. The document concludes by discussing the future of steganography and its potential limitations under laws.
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.orgÂ
JPM1404 Designing an Efficient Image Encryption-Then-Compression System via...
JP INFOTECH is one of the leading Matlab projects provider in Chennai having experience faculties. We have list of image processing projects as our own and also we can make projects based on your own base paper concept also.
For more details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/matlab-projects/
Revealing the trace of high
This paper proposes a novel method for identifying JPEG compressed images through analysis of quantization noise. It defines "forward quantization noise" and shows that decompressed JPEG images have lower variance of this noise than uncompressed images. It develops a simple detection algorithm based on this conclusion that outperforms state-of-the-art methods, especially for high-quality compressed images. The method is robust and can be applied to identify JPEG compression in practical applications like image classification and forgery detection.
Adaptive-Quality Image Compression Algorithm
The document describes an adaptive-quality image compression (AQIC) algorithm that aims to achieve a high compression ratio while preserving image quality. The algorithm works by identifying the most common colors and least common colors in an image. It then develops an efficient binary encoding for each color, ensuring exact retrieval of common colors and minimal approximation of uncommon colors. Experimental results showed the AQIC algorithm achieved a compression ratio of around 1.6 with a peak signal-to-noise ratio over 30 decibels, outperforming other compression methods like JPEG in terms of quality.
A Novel Approach for Compressing Surveillance System Videos
The surveillance systems are expected to record the videos in 24/7 and obviously it requires a huge storage space. Even though the hard disks are cheaper today, the number of CCTV cameras is also vertically increasing in order to boost up security. The video compression techniques is the only better option to reduce required the storage space; however, the existing video compression techniques are not adequate at all for the modern digital surveillance system monitoring as they require huge video streams. In this paper, a novel video compression technique is presented with a critical analysis of the experimental results.
NEW IMPROVED 2D SVD BASED ALGORITHM FOR VIDEO CODING
Video compression is one of the most important blocks of an image acquisition system.
Compression of video results in reduction of transmission bandwidth. In real time video
compression the incoming video data is directly compressed without being stored first.
Therefore real time video compression system operates under stringent timing constraints.
Current video compression standards like MPEG, H.26x series, involve emotion estimation and
compensation blocks which are highly computationally expensive and hence they are not
suitable for real time applications on resource scarce systems. Current applications like video
calling, video conferencing require low complexity video compression algorithms so that they
can be implemented in environments that have scarce computational resources (like mobile
phones). A low complexity video compression algorithm based on 2D SVD exists. In this paper, a modification to that algorithm which provides higher PSNR at the same bit rate is presented.
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.orgÂ
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Digital video is, a sequence of images, called frames, displayed at a certain frame rate (so many frames per second, or fps) to create the illusion of animation.
A Novel Optimum Technique for JPEG 2000 Post Compression Rate Distortion Algo...
The new technique we proposed in this paper based
on Hidden Markov Model in the field of post compression rate
distortion algorithms certainly meet the requirements of high
quality still images. The existing technology has been
extensively applied in modern image processing. Development
of image compression algorithms is becoming increasingly
important for obtaining a more informative image from several
source images captured by different modes of imaging systems
or multiple sensors. The JPEG 2000 image compression
standard is very sensitive to errors. The JPEG2000 system
provides scalability with respect to quality, resolution and
color component in the transfer of images. But some of the
applications need certainly qualitative images at the output
ends. In our architecture the Proto-object also introduced as
the input ant bit rate allocation and rate distortion has been
discussed for the output image with high resolution. In this
paper, we have also discussed our novel response dependent
condensation image compression which has given scope to go
for this post compression Rate Distortion Algorithm (PCRD)
of JPEG 2000 standard. This proposed technique outperforms
the existing methods in terms of increasing efficiency,
optimum PSNR values at different bpp levels. The proposed
technique involves Hidden Markov Model to meet the
requirements for higher scalability and also to increase the
memory storage capacity.
International Journal of Engineering Research and Development (IJERD)
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Survey paper on image compression techniques
This document summarizes and compares several popular image compression techniques: wavelet compression, JPEG/DCT compression, vector quantization (VQ), fractal compression, and genetic algorithm compression. It finds that all techniques perform satisfactorily at 0.5 bits per pixel, but for very low bit rates like 0.25 bpp, wavelet compression techniques like EZW perform best in terms of compression ratio and quality. Specifically, EZW and JPEG are more practical than others at low bit rates. The document also notes advantages and disadvantages of each technique and concludes hybrid approaches may achieve even higher compression ratios while maintaining image quality.
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1) The document discusses joint source-channel coding (JSCC) schemes for transmitting JPEG images over AWGN channels.
2) It proposes using JSCC with unequal error protection (UEP), applying stronger channel coding to important DC coefficients and weaker coding to less important AC coefficients.
3) The goal is to improve received image quality compared to equal error protection (EEP) schemes by providing varying levels of protection according to data importance.
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Detection of Bullying Messages in Social Media
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Secure Online Transaction System with Cryptography
Detecting Mobile Malicious Webpages in Real Time
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Online Parking Booking System
E-Pass Management System | Curfew e-pass management system
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Bike Store Management System
Computer Inventory System
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Fake Profile Detection on Social Networking Websites using Machine Learning
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To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
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Sentiment Classification using N-gram IDF and Automated Machine Learning
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Email: jpinfotechprojects@gmail.com,
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Novel Intrusion Detection and Prevention for Mobile Ad Hoc Networks
Novel Intrusion Detection and Prevention for Mobile Ad Hoc Networks
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Node-Level Trust Evaluation in Wireless Sensor Networks
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Leveraging Generative AI to Drive Nonprofit Innovation
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Towards robust image steganography
- 1. Towards Robust Image Steganography ABSTRACT: The behavior of posting images on social network platforms is happened everywhere and every single second. Thus, the communication channels offered by various social networks have a great potential for covert communication. However, images transmitted through such channels will usually be JPEG compressed, which fails most of the existing steganographic schemes. In this paper, we propose a novel image steganography framework that is robust to such channels. In particular, we first obtain the channel compressed version (i.e., the channel output) of the original image. Secret data is embedded into the channel compressed original image by using any of the existing JPEG steganographic schemes, which produces the stego-image after the channel transmission. To generate the corresponding image before the channel transmission (termed as the intermediate image), we propose a coefficient adjustment scheme to slightly modify the original image based on the stegoimage. The adjustment is done such that the channel compressed version of the intermediate image is exactly the same as the stego- image. Therefore, after the channel transmission, the secret data can be extracted from the stego-image with 100% accuracy. Various experiments are conducted to show the effectiveness of the proposed framework for image steganography robust to JPEG compression.
- 2. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS: ī System : Pentium Dual Core. ī Hard Disk : 120 GB. ī Monitor : 15ââ LED ī Input Devices : Keyboard, Mouse ī Ram : 1 GB. SOFTWARE REQUIREMENTS: ī Operating system : Windows 7. ī Coding Language : ASP.NET,C#.NET ī Tool : Visual Studio 2008 ī Database : SQL SERVER 2005 REFERENCE: Jinyuan Tao, Sheng Li, Xinpeng Zhang, and Zichi Wang, âTowards Robust Image Steganographyâ, IEEE Transactions on Circuits and Systems for Video Technology, Volume: 29 , Issue: 2 , Feb. 2019.