JPM1404 Designing an Efficient Image Encryption-Then-Compression System via...chennaijp
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/
Designing an efficient image encryption then-compression system via predictio...LeMeniz Infotech
The document proposes a new image encryption-then-compression system that aims to efficiently compress encrypted images while maintaining a high level of security. It suggests encrypting images in the prediction error domain and using context-adaptive arithmetic coding to compress the encrypted data, resulting in only a negligible loss in compression efficiency compared to compressing the original images. This approach improves upon existing systems that induce significant penalties on compression performance when encrypting images prior to compression.
An Efficient encryption using Data compression towards Steganography,introduc...prashantdahake
This document outlines a seminar presentation on using arithmetic coding for data compression prior to encryption and steganography. It includes an introduction discussing the need for secure data transmission and compact data storage. The methodology section describes using arithmetic coding to compress data and calculates character probabilities. Block diagrams show the encryption, embedding into an image, and extraction processes. The research contribution combines compression, encryption, and steganography to provide efficient and secure data transmission.
Lossless and reversible data hiding in encrypted images with public key crypt...LeMeniz Infotech
Lossless and reversible data hiding in encrypted images with public key cryptography
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Web : http://www.lemenizinfotech.com
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Mail : projects@lemenizinfotech.com
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Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
DIP Using Image Encryption and XOR Operation Affine Transformiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Encryption converts plaintext into ciphertext using an algorithm and key. Gaussian elimination with partial pivoting and row exchange is used to encrypt images by converting the image matrix to an upper triangular matrix and generating a decryption key. The encrypted image matrix and key can then be multiplied to recover the original image matrix and decrypt the image. This algorithm allows for faster encryption time while still producing robust encryption to prevent unauthorized access to images.
JPM1404 Designing an Efficient Image Encryption-Then-Compression System via...chennaijp
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/
Designing an efficient image encryption then-compression system via predictio...LeMeniz Infotech
The document proposes a new image encryption-then-compression system that aims to efficiently compress encrypted images while maintaining a high level of security. It suggests encrypting images in the prediction error domain and using context-adaptive arithmetic coding to compress the encrypted data, resulting in only a negligible loss in compression efficiency compared to compressing the original images. This approach improves upon existing systems that induce significant penalties on compression performance when encrypting images prior to compression.
An Efficient encryption using Data compression towards Steganography,introduc...prashantdahake
This document outlines a seminar presentation on using arithmetic coding for data compression prior to encryption and steganography. It includes an introduction discussing the need for secure data transmission and compact data storage. The methodology section describes using arithmetic coding to compress data and calculates character probabilities. Block diagrams show the encryption, embedding into an image, and extraction processes. The research contribution combines compression, encryption, and steganography to provide efficient and secure data transmission.
Lossless and reversible data hiding in encrypted images with public key crypt...LeMeniz Infotech
Lossless and reversible data hiding in encrypted images with public key cryptography
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Web : http://www.lemenizinfotech.com
Web : http://www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
DIP Using Image Encryption and XOR Operation Affine Transformiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Encryption converts plaintext into ciphertext using an algorithm and key. Gaussian elimination with partial pivoting and row exchange is used to encrypt images by converting the image matrix to an upper triangular matrix and generating a decryption key. The encrypted image matrix and key can then be multiplied to recover the original image matrix and decrypt the image. This algorithm allows for faster encryption time while still producing robust encryption to prevent unauthorized access to images.
Lossless and reversible data hiding in encrypted images with public key crypt...LogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
The document provides an introduction to image encryption using AES key expansion. It discusses how traditional encryption techniques are not well-suited for encrypting large multimedia files like images due to their size and characteristics. The objective of the study is to develop an image encryption system that is computationally secure, fast enough for real-time use, and widely acceptable. It reviews related works in image encryption and discusses limitations of only using a 128-bit AES key. The document is organized into chapters covering cryptography fundamentals, image cryptosystems, AES algorithm details, an example of AES key expansion, and experimental analysis.
This document proposes a method called learnable image encryption that allows deep learning to be performed on encrypted images while protecting privacy. It works by applying weak block-wise encryption to images before training deep learning models. The models can still learn meaningful patterns from the encrypted images. This approach could help shopping malls analyze customer behavior from security camera footage or allow companies to develop AI systems using encrypted data without compromising privacy. The method achieves comparable accuracy to training on plain images while keeping the encrypted images unintelligible to humans. Code and details on the block-wise encryption and decryption algorithms are available online.
Secured Reversible Data Hiding In Encrypted Images Using Hyper ChaosCSCJournals
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it maintains the excellent property that the original cover can be losslessly recovered after embedded data is extracted while protecting the image content’s confidentiality. All previous methods embed data by reversibly vacating room from the encrypted images, which may be subject to some errors on data extraction and/or image restoration. Here a novel method is proposed by reserving room before encryption with a traditional RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image. Moreover data to be embedded is shuffled using a hyper chaotic function which is difficult to be extracted from the stego image without original key. A digital water mark is also embedded which ensures integrity of the data. The proposed method has been validated against three other available RDH schemes and it is observed that the proposed scheme outperforms these RDH schemes both in visual quality and payload. The proposed method can achieve real reversibility, that is, data extraction and image recovery are free of any error.
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
www.softroniics.com
The document summarizes a block-based image transformation and encryption algorithm. It divides images into blocks that are rearranged to decrease correlation between pixels. The transformed image is then encrypted with Blowfish. Three cases using different block sizes were tested. Results showed that using smaller blocks decreased correlation and increased entropy, strengthening encryption. The technique enhances security by transforming before encrypting with Blowfish.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
separable reversible data hiding in encrypted imageZTech Proje
This document proposes a method for separable reversible data hiding in encrypted images. The method uses different keys for image encryption and data hiding, allowing the data and original image to be retrieved independently. This improves on existing systems that use the same key for encryption and data hiding, allowing anyone with the key to access both the hidden data and original image. The proposed method encrypts images with an encryption key, then hides data in the encrypted images with a separate data hiding key. Receivers with the data hiding key can retrieve the hidden data, and receivers with the encryption key can retrieve the original image, without extracting the hidden data.
This document summarizes a research paper that proposes a method for securely sharing visual secrets using click point encryption. The method uses click points selected on an image as an encryption key to encrypt secret data using AES encryption. The encrypted data is then embedded into the image using least significant bit replacement. Only someone with the click point key received through a secure channel can decrypt and view the secret data. The document reviews related work on visual cryptography and identifies limitations like lack of authentication. It then describes the proposed method in more detail, including the AES encryption process, generating encryption keys from click points, and embedding the encrypted data into the image.
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.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Nesting of five modulus method with improved lsb subtitution to hide an image...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Double Key Encryption Method (DKEM) Algorithms Using ANN for Data Storing and...IOSR Journals
This document proposes a double key encryption method using artificial neural networks for securely storing and retrieving data in cloud computing. The method uses a backpropagation neural network for key generation and to transform plaintext into an encrypted form for storage. Encryption occurs in two stages - first using a transformation key to produce encrypted input, then a second encryption key to generate ciphertext. For retrieval, the process is reversed - decrypting with keys then transforming back to plaintext. The goal is to enhance cloud data security even if an intruder obtains the ciphertext, as they could not decrypt without both keys.
Keyless approach of separable hiding data into encrypted imageprjpublications
This document summarizes a research paper that proposes a keyless approach to separately hiding data in an encrypted image. The approach uses Sieving, Division and Shuffling (SDS) algorithms to encrypt an original image, generating random shares. It then compresses the least significant bits of the encrypted image to create space for additional data. At the receiver end, the encrypted image and data are decrypted separately without keys. The SDS algorithms sieve an input image into RGB components, randomly divide each component into shares, and shuffle the shares. This encrypts the image. Data is then embedded in the encrypted image before transmission. At the receiver end, the inverse process extracts both the decrypted image and data.
DUAL SECURITY USING IMAGE STEGANOGRAPHY BASED MATRIX PARTITIONIJNSA Journal
This document describes a proposed dual security image steganography technique using matrix partitioning. It involves three main steps: 1) partitioning a secret image into matrices to increase embedding capacity, 2) scrambling secret data bits by replacing the most significant bits instead of least significant bits to provide an additional level of security, and 3) embedding the secret data into a cover image in the spatial domain using least significant bit substitution. The technique can embed grayscale or color images, messages, or images with messages into grayscale or color cover images of any size for enhanced security beyond typical steganography. Diagrams illustrate the embedding and extraction processes.
Image Encryption-Then-Compression System via Prediction Error Clustering and ...AM Publications,India
The images have to be encrypted before compression to give high level security. We design a highly efficient image encryption-the –compression system using lossless and lossy compression. The image encryption design to operate in the prediction error domain to provide in a sensible way to give high level security. An arithmetic coding based approach can be exploited to efficiently compress the encrypted images. The proposed compression approach applied to encrypted images is only slightly worse, in terms of compression efficiency than the disambiguation lossless/lossy image coders which take original unencrypted images as inputs. In existing Encryption then compression induced the significant penalty on compression efficiency. The password generation and encryption are all done by the system itself after clicking the encryption button with transparency to the user. The same encryption password is also used to decrypt the encrypted binary file. The application uses simple key generation methods of random number generation and combination.
This seminar discusses visual cryptography, which allows images and text to be encrypted in a way that can be decrypted by the human visual system without computational tools. The document outlines several visual cryptography techniques including secret sharing schemes using 2 out of 2 pixel patterns for binary images and halftone patterns for gray-scale images. Color image encryption using 4 subpixels is also described. Advantages include ease of decryption and transmission of ciphertexts, while disadvantages include loss of image quality. Applications discussed include watermarking, steganography, and remote electronic voting.
Gives Information About Hybrid Approach for (K,N) Secret Sharing Scheme in Visual Cryptography. and also Literature Survey on visual cryptography from past 10 Years.
This document describes a proposed system for efficient image encryption-then-compression (ETC). The proposed system operates in the prediction error domain to provide a reasonably high level of security while allowing efficient compression of encrypted images. In contrast to existing ETC solutions that induce significant penalties on compression efficiency, the proposed arithmetic coding-based compression approach achieves compression efficiency close to state-of-the-art compression on original images. The system architecture and hardware/software requirements are also outlined.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Lossless and reversible data hiding in encrypted images with public key crypt...LogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
The document provides an introduction to image encryption using AES key expansion. It discusses how traditional encryption techniques are not well-suited for encrypting large multimedia files like images due to their size and characteristics. The objective of the study is to develop an image encryption system that is computationally secure, fast enough for real-time use, and widely acceptable. It reviews related works in image encryption and discusses limitations of only using a 128-bit AES key. The document is organized into chapters covering cryptography fundamentals, image cryptosystems, AES algorithm details, an example of AES key expansion, and experimental analysis.
This document proposes a method called learnable image encryption that allows deep learning to be performed on encrypted images while protecting privacy. It works by applying weak block-wise encryption to images before training deep learning models. The models can still learn meaningful patterns from the encrypted images. This approach could help shopping malls analyze customer behavior from security camera footage or allow companies to develop AI systems using encrypted data without compromising privacy. The method achieves comparable accuracy to training on plain images while keeping the encrypted images unintelligible to humans. Code and details on the block-wise encryption and decryption algorithms are available online.
Secured Reversible Data Hiding In Encrypted Images Using Hyper ChaosCSCJournals
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it maintains the excellent property that the original cover can be losslessly recovered after embedded data is extracted while protecting the image content’s confidentiality. All previous methods embed data by reversibly vacating room from the encrypted images, which may be subject to some errors on data extraction and/or image restoration. Here a novel method is proposed by reserving room before encryption with a traditional RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image. Moreover data to be embedded is shuffled using a hyper chaotic function which is difficult to be extracted from the stego image without original key. A digital water mark is also embedded which ensures integrity of the data. The proposed method has been validated against three other available RDH schemes and it is observed that the proposed scheme outperforms these RDH schemes both in visual quality and payload. The proposed method can achieve real reversibility, that is, data extraction and image recovery are free of any error.
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
www.softroniics.com
The document summarizes a block-based image transformation and encryption algorithm. It divides images into blocks that are rearranged to decrease correlation between pixels. The transformed image is then encrypted with Blowfish. Three cases using different block sizes were tested. Results showed that using smaller blocks decreased correlation and increased entropy, strengthening encryption. The technique enhances security by transforming before encrypting with Blowfish.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
separable reversible data hiding in encrypted imageZTech Proje
This document proposes a method for separable reversible data hiding in encrypted images. The method uses different keys for image encryption and data hiding, allowing the data and original image to be retrieved independently. This improves on existing systems that use the same key for encryption and data hiding, allowing anyone with the key to access both the hidden data and original image. The proposed method encrypts images with an encryption key, then hides data in the encrypted images with a separate data hiding key. Receivers with the data hiding key can retrieve the hidden data, and receivers with the encryption key can retrieve the original image, without extracting the hidden data.
This document summarizes a research paper that proposes a method for securely sharing visual secrets using click point encryption. The method uses click points selected on an image as an encryption key to encrypt secret data using AES encryption. The encrypted data is then embedded into the image using least significant bit replacement. Only someone with the click point key received through a secure channel can decrypt and view the secret data. The document reviews related work on visual cryptography and identifies limitations like lack of authentication. It then describes the proposed method in more detail, including the AES encryption process, generating encryption keys from click points, and embedding the encrypted data into the image.
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.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Nesting of five modulus method with improved lsb subtitution to hide an image...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Double Key Encryption Method (DKEM) Algorithms Using ANN for Data Storing and...IOSR Journals
This document proposes a double key encryption method using artificial neural networks for securely storing and retrieving data in cloud computing. The method uses a backpropagation neural network for key generation and to transform plaintext into an encrypted form for storage. Encryption occurs in two stages - first using a transformation key to produce encrypted input, then a second encryption key to generate ciphertext. For retrieval, the process is reversed - decrypting with keys then transforming back to plaintext. The goal is to enhance cloud data security even if an intruder obtains the ciphertext, as they could not decrypt without both keys.
Keyless approach of separable hiding data into encrypted imageprjpublications
This document summarizes a research paper that proposes a keyless approach to separately hiding data in an encrypted image. The approach uses Sieving, Division and Shuffling (SDS) algorithms to encrypt an original image, generating random shares. It then compresses the least significant bits of the encrypted image to create space for additional data. At the receiver end, the encrypted image and data are decrypted separately without keys. The SDS algorithms sieve an input image into RGB components, randomly divide each component into shares, and shuffle the shares. This encrypts the image. Data is then embedded in the encrypted image before transmission. At the receiver end, the inverse process extracts both the decrypted image and data.
DUAL SECURITY USING IMAGE STEGANOGRAPHY BASED MATRIX PARTITIONIJNSA Journal
This document describes a proposed dual security image steganography technique using matrix partitioning. It involves three main steps: 1) partitioning a secret image into matrices to increase embedding capacity, 2) scrambling secret data bits by replacing the most significant bits instead of least significant bits to provide an additional level of security, and 3) embedding the secret data into a cover image in the spatial domain using least significant bit substitution. The technique can embed grayscale or color images, messages, or images with messages into grayscale or color cover images of any size for enhanced security beyond typical steganography. Diagrams illustrate the embedding and extraction processes.
Image Encryption-Then-Compression System via Prediction Error Clustering and ...AM Publications,India
The images have to be encrypted before compression to give high level security. We design a highly efficient image encryption-the –compression system using lossless and lossy compression. The image encryption design to operate in the prediction error domain to provide in a sensible way to give high level security. An arithmetic coding based approach can be exploited to efficiently compress the encrypted images. The proposed compression approach applied to encrypted images is only slightly worse, in terms of compression efficiency than the disambiguation lossless/lossy image coders which take original unencrypted images as inputs. In existing Encryption then compression induced the significant penalty on compression efficiency. The password generation and encryption are all done by the system itself after clicking the encryption button with transparency to the user. The same encryption password is also used to decrypt the encrypted binary file. The application uses simple key generation methods of random number generation and combination.
This seminar discusses visual cryptography, which allows images and text to be encrypted in a way that can be decrypted by the human visual system without computational tools. The document outlines several visual cryptography techniques including secret sharing schemes using 2 out of 2 pixel patterns for binary images and halftone patterns for gray-scale images. Color image encryption using 4 subpixels is also described. Advantages include ease of decryption and transmission of ciphertexts, while disadvantages include loss of image quality. Applications discussed include watermarking, steganography, and remote electronic voting.
Gives Information About Hybrid Approach for (K,N) Secret Sharing Scheme in Visual Cryptography. and also Literature Survey on visual cryptography from past 10 Years.
This document describes a proposed system for efficient image encryption-then-compression (ETC). The proposed system operates in the prediction error domain to provide a reasonably high level of security while allowing efficient compression of encrypted images. In contrast to existing ETC solutions that induce significant penalties on compression efficiency, the proposed arithmetic coding-based compression approach achieves compression efficiency close to state-of-the-art compression on original images. The system architecture and hardware/software requirements are also outlined.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document describes a proposed system for efficient image encryption-then-compression (ETC). Existing ETC solutions significantly reduce compression efficiency. The proposed system encrypts images in the prediction error domain, allowing for reasonably secure encryption while maintaining high compression efficiency. Encrypted images can be compressed using arithmetic coding, achieving compression performance similar to compressing uncompressed images. This overcomes limitations of prior ETC systems that degraded compression performance on encrypted data.
The document proposes a chaotic image encryption technique using Henon chaotic systems. It consists of two main steps: 1) Image fusion between the original image and a key image. 2) Encrypting the pixel values of the fused image using a Henon chaotic map. The technique aims to provide high security with less computational time compared to traditional encryption methods. Experimental results show the algorithm is sensitive to keys and resistant to brute force attacks. The technique can be used for applications like secure internet image transmission.
JPM1406 Dual-Geometric Neighbor Embedding for Image Super Resolution With Sp...chennaijp
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.
The document describes an improved image encryption and compression system using error clustering and random permutation. It proposes a highly efficient image encryption-then-compression framework. The image encryption method works in the prediction error domain and can provide a reasonably high level of security. Notably, the proposed compression approach applied to encrypted images is only slightly worse than compressing unencrypted images. In contrast, most existing encryption-then-compression systems significantly reduce compression efficiency. The system includes image encryption by Alice, image compression by Charlie, and sequential decryption and decompression by Bob. It analyzes the security of the proposed permutation-based encryption method and efficiency of compressing encrypted data.
SECURE OMP BASED PATTERN RECOGNITION THAT SUPPORTS IMAGE COMPRESSIONsipij
In this paper, we propose a secure Orthogonal Matching Pursuit (OMP) based pattern recognition scheme that well supports image compression. The secure OMP is a sparse coding algorithm that chooses atoms sequentially and calculates sparse coefficients from encrypted images. The encryption is carried out by using a random unitary transform. The proposed scheme offers two prominent features. 1) It is capable of
pattern recognition that works in the encrypted image domain. Even if data leaks, privacy can be maintained because data remains encrypted. 2) It realizes Encryption-then-Compression (EtC) systems, where image encryption is conducted prior to compression. The pattern recognition can be carried out using a
few sparse coefficients. On the basis of the pattern recognition results, the scheme can compress selected images with high quality by estimating a sufficient number of sparse coefficients. We use the INRIA dataset to demonstrate its performance in detecting humans in images. The proposal is shown to realize human detection with encrypted images and efficiently compress the images selected in the image recognition stage.
Psdot 17 new channel selection rule for jpeg steganographyZTech Proje
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ARM PIC BASED PROJECTS, MICRO CONTROLLER PROJECTS Z Technologies, Chennai
Unified Approach With Neural Network for Authentication, Security and Compres...CSCJournals
The Present demands of scientific and social life forced image processing based applications to have a tremendous growth. This growth at the same time has given numbers of challenges to researcher to meet the desired objectives of either users or from solution perspectives. Among the various challenges, the most dominating areas are: reduction in required memory spaces for storage or taken transmission time from one location to other, protection of image contents to maintain the privacy and to facilitate the mechanism to identify the malicious modification if there is any either in storage or in transmission channel. Even though there are number of methods proposed by various researchers and are existed as solutions, questions are remain open in terms of quality, cost and complexity. In this paper we have proposed the concept based on neural network to achieve the quality of compression, protection and authentication all together using the ability of universal approximation by learning, one way property and one to one mapping characteristics correspondingly. With the proposed methods not only we can authenticate the image but also positions of malicious activity given in the image can be located with high precision. Proposed methods are very efficient in performance as well as carry the features of simplicity and cost effectiveness.
Survey on Different Image Encryption Techniques with Tabular Formijsrd.com
Rapid growth of digital communication and multimedia application increases the need of security and it becomes an important issue of communication and storage of multimedia. Image Encryption is one of the techniques that are used to ensure high security. Various fields such as medical science military in which image encryption can be used. Recent cryptography provides necessary techniques for securing information and protective multimedia data. In last some years, encryption technology has been developed quickly and many image encryption methods have been used to protect confidential image data from illegal way in. Within this paper survey of different image encryption techniques have been discussed from which researchers can get an idea for efficient techniques to be used.
Image Encryption Using Differential Evolution Approach in Frequency Domainsipij
This paper presents a new effective method for image encryption which employs magnitude and phase manipulation using Differential Evolution (DE) approach. The novelty of this work lies in deploying the concept of keyed discrete Fourier transform (DFT) followed by DE operations for encryption purpose. To this end, a secret key is shared between both encryption and decryption sides. Firstly two dimensional (2-D) keyed discrete Fourier transform is carried out on the original image to be encrypted. Secondly crossover is performed between two components of the encrypted image, which are selected based on Linear Feedback Shift Register (LFSR) index generator. Similarly, keyed mutation is performed on the real parts of a certain components selected based on LFSR index generator. The LFSR index generator initializes it seed with the shared secret key to ensure the security of the resulting indices. The process shuffles the positions of image pixels. A new image encryption scheme based on the DE approach is developed which is composed with a simple diffusion mechanism. The deciphering process is an invertible process using the same key. The resulting encrypted image is found to be fully distorted, resulting in increasing the robustness of the proposed work. The simulation results validate the proposed image encryption scheme.
The document discusses hiding confidential text data within an encrypted image using reversible data hiding techniques. It begins by introducing the concepts of reversible data hiding and meaningful image encryption. The proposed method first encrypts an original image using AES to create a pre-encrypted image. It then applies discrete wavelet transform to the pre-encrypted image to transform it into a visually meaningful encrypted image. Finally, reversible data hiding is used to hide confidential text data within the meaningful encrypted image while still allowing lossless retrieval of both the image and hidden data. The method aims to provide effective data protection with low computational cost.
This survey propose a Novel Joint Data-Hiding and
Compression Scheme (JDHC) for digital images using side match
vector quantization (SMVQ) and image in painting. In this
JDHC scheme image compression and data hiding scheme are
combined into a single module. On the client side, the data should
be hided and compressed in sub codebook such that remaining
block except left and top most of the image. The data hiding and
compression scheme follows raster scanning order i.e. block by
block on row basis. Vector Quantization used with SMVQ and
Image In painting for complex block to control distortion and
error injection. The receiver side process is based on two
methods. First method divide the received image into series of
blocks the receiver achieve hided data and original image
according to the index value in the segmented block. Second
method use edge based harmonic in painting is used to get
original image if any loss in the image.
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designing an efficient image encryption-then-compression system via prediction error clustering and random perm
1. Designing an Efficient Image Encryption-Then-Compression System via Prediction Error
Clustering and Random Perm
Designing an Efficient Image Encryption-Then-Compression System via
Prediction Error Clustering and Random Perm
Contact: 9703109334, 9533694296
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
ABSTRACT
In many practical scenarios, image encryption has to be conducted prior to image compression.
This has led to the problem of how to design a pair of image encryption and compression
algorithms such that compressing the encrypted images can still be efficiently performed. In this
paper, we design a highly efficient image encryption-then-compression (ETC) system, where
both lossless and lossy compressions are considered. The proposed image encryption scheme
operated in the prediction error domain is shown to be able to provide a reasonably high level of
security. We also demonstrate that an arithmetic coding-based approach can be exploited to
efficiently compress the encrypted images. More notably, the proposed compression approach
applied to encrypted images is only slightly worse, in terms of compression efficiency, than the
state-of-the-art lossless/lossy image coders, which take original, unencrypted images as inputs. In
contrast, most of the existing ETC solutions induce significant penalty on the compression
efficiency.
EXISTING SYSTEM:
Existing ETC solutions induce significant penalty on the compression efficiency.
DISADVANTAGES OF EXISTING SYSTEM:
More Prediction error.
Lossy Image Compression.
PROPOSED SYSTEM:
In this paper, we design a highly efficient image encryption-then-compression (ETC)
system, where both lossless and lossy compression are considered.
The proposed image encryption scheme operated in the predic tion error domain is shown
to be able to provide a reasonably high level of security.
2. Designing an Efficient Image Encryption-Then-Compression System via Prediction Error
Clustering and Random Perm
We also demonstrate that an arithmetic coding-based approach can be exploited to
efficiently compress the encrypted images.
ADVANTAGES OF PROPOSED SYSTEM:
The ability of controlling the lowest achievable rate by the content owner may be treated
as an advantageous feature of the proposed ETC scheme, since the quality of the decoded
image at receiver side is guaranteed, though the manipulation of the encrypted data is
completely handled by an untrusted party.
Attack model applicable to our proposed encryption scheme is the ciphertext-only attack
in which the attacker can only access the ciphertext and attempts to recover the original
image.
Our proposed compression method on encrypted images is very close to that of the state-of-
the-art lossless/lossy image codecs, which receive original, unencrypted images as
Contact: 9703109334, 9533694296
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
inputs
SYSTEM ARCHITECTURE:
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
System : Pentium IV 2.4 GHz.
3. Designing an Efficient Image Encryption-Then-Compression System via Prediction Error
Clustering and Random Perm
Hard Disk : 40 GB.
Floppy Drive : 1.44 Mb.
Monitor : 15 VGA Colour.
Mouse : Logitech.
Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
Operating system : Windows XP/7.
Coding Language : ASP.net, C#.net
Tool : Visual Studio 2010
Database : SQL SERVER 2008
Jiantao Zhou,Xianming Liu, Oscar C. Au, and Yuan Yan Tang, “Designing an Efficient Image
Encryption-Then-Compression System via Prediction Error Clustering and Random
Permutation”, VOL. 9, NO. 1, JANUARY 2014.
Contact: 9703109334, 9533694296
REFERENCE:
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in