Designing an efficient image encryption then-compression system via prediction error clustering and random permutation
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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.
Designing an efficient image encryption then-compression system via prediction error clustering and random permutation
- 1. LeMeniz Infotech 36, 100 feet Road, Natesan Nagar(Near Indira Gandhi Statue, Next to Fish-O-Fish), Pondicherry-605 005 Call: 0413-4205444, +91 99625 88976, 95663 55386. For More Projects Titles Visits : www.lemenizinfotech.com | Call Us : 9962588976 /9566355386 Do Your Projects With Domain Experts DESIGNING AN EFFICIENT IMAGE ENCRYPTION-THEN-COMPRESSION SYSTEM VIA PREDICTION ERROR CLUSTERING AND RANDOM PERMUTATION ABSTRACT Image encryption has to be conducted prior to image compression in many applications. 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 compression 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.
- 2. LeMeniz Infotech 36, 100 feet Road, Natesan Nagar(Near Indira Gandhi Statue, Next to Fish-O-Fish), Pondicherry-605 005 Call: 0413-4205444, +91 99625 88976, 95663 55386. For More Projects Titles Visits : www.lemenizinfotech.com | Call Us : 9962588976 /9566355386 Do Your Projects With Domain Experts INTRODUCTION Consider an application scenario in which a content owner Alice wants to securely and efficiently transmit an image I to a recipient Bob, via an untrusted channel provider Charlie. Conventionally, this could be done as follows. Alice first compresses I into B, and then encrypts B into Ie using an encryption function EK (¡), where K denotes the secret key. The encrypted data Ie is then passed to Charlie, who simply forwards it to Bob. Upon receiving Ie, Bob sequentially performs decryption to get a reconstructed image Ë I. SCOPE OF WORK Even though Compression-then-Encryption (CTE) paradigm meets the requirements in many secure transmission scenarios, the order of applying the compression and encryption needs to be reversed in some other situations. As the content owner, is always interested in protecting the privacy of the image data through encryption. Nevertheless, he has no incentive to compress her data, and hence, will not use her limited computational resources to run a compression algorithm before encrypting the data. This is especially true when content owner uses a resource-deprived mobile device. In contrast, the channel provider has an overriding interest in compressing all the network traffic so as to maximize the network utilization. It is therefore much desired if the compression task can be
- 3. LeMeniz Infotech 36, 100 feet Road, Natesan Nagar(Near Indira Gandhi Statue, Next to Fish-O-Fish), Pondicherry-605 005 Call: 0413-4205444, +91 99625 88976, 95663 55386. For More Projects Titles Visits : www.lemenizinfotech.com | Call Us : 9962588976 /9566355386 Do Your Projects With Domain Experts delegated by channel provider, who typically has abundant computational resources. PROBLEM DEFINITION A content owner wants to securely and efficiently transmit an image I to a recipient, via an untrusted channel provider. Content owner first compresses the image I, and then encrypts the image into Ie using an encryption function EK (¡), where K denotes the secret key. The encrypted data Ie is then passed to content receiver, who simply forwards through untrusted channel provider. After receiving Ie, content sequentially performs decryption to get a reconstructed image. To design a framework, which securely transfer the image via untrusted channel provider is to be studied. PROBLEM SOLUTION The primary focus of this work is on the practical design of a pair of image encryption and compression schemes, in such a way that compressing the encrypted images is almost equally efficient as compressing their original, unencrypted counterparts.
- 4. LeMeniz Infotech 36, 100 feet Road, Natesan Nagar(Near Indira Gandhi Statue, Next to Fish-O-Fish), Pondicherry-605 005 Call: 0413-4205444, +91 99625 88976, 95663 55386. For More Projects Titles Visits : www.lemenizinfotech.com | Call Us : 9962588976 /9566355386 Do Your Projects With Domain Experts CHALLENGES A big challenge within such Encryption-then-Compression (ETC) framework is that compression has to be conducted in the encrypted domain. The possibility of processing encrypted signals directly in the encrypted domain has been receiving increasing attention. At the first glance, it seems to be infeasible for channel provider to compress the encrypted data, since no signal structure can be exploited to enable a traditional compressor. EXISTING SYSTEM ď By applying LDPC codes in various bit-planes and exploiting the inter/intra correlation, several methods available for lossless compression of encrypted grayscale/color images. ď Aided by rate-compatible punctured turbo codes a progressive method was proposed to losslessly compress stream cipher encrypted grayscale/color images. ď Compressing block cipher encrypted data was studied, to achieve higher compression ratios, lossy compression of encrypted data was also studied. ď A scalable lossy coding framework of encrypted images via a multi-resolution construction was proposed. ď A compressive sensing (CS) mechanism was utilized to compress encrypted images resulted from linear encryption. A modified basis pursuit algorithm
- 5. LeMeniz Infotech 36, 100 feet Road, Natesan Nagar(Near Indira Gandhi Statue, Next to Fish-O-Fish), Pondicherry-605 005 Call: 0413-4205444, +91 99625 88976, 95663 55386. For More Projects Titles Visits : www.lemenizinfotech.com | Call Us : 9962588976 /9566355386 Do Your Projects With Domain Experts can then be applied to estimate the original image from the compressed and encrypted data. Another CS-based approach for encrypting compressed images was reported. ď An image encryption scheme via pixel-domain permutation, and demonstrated that the encrypted file can be efficiently compressed by discarding the excessively rough and fine information of coefficients in the transform domain. Disadvantages ď Even though the above Compression-then-Encryption (CTE) paradigm meets the requirements in many secure transmission scenarios, the order of applying the compression and encryption needs to be reversed in some other situations. PROPOSED SYSTEM The primary focus of this work is on the practical design of a pair of image encryption and compression schemes, in such a way that compressing the encrypted images is almost equally efficient as compressing their original, unencrypted counterparts. To propose a permutation-based image encryption approach conducted over the prediction error domain.
- 6. LeMeniz Infotech 36, 100 feet Road, Natesan Nagar(Near Indira Gandhi Statue, Next to Fish-O-Fish), Pondicherry-605 005 Call: 0413-4205444, +91 99625 88976, 95663 55386. For More Projects Titles Visits : www.lemenizinfotech.com | Call Us : 9962588976 /9566355386 Do Your Projects With Domain Experts A context-adaptive arithmetic coding (AC) is then shown to be able to efficiently compress the encrypted data. Thanks to the nearly i.i.d property of the prediction error sequence, negligible compression penalty (< 0.1% coding loss for lossless case) will be introduced. Furthermore, due to the high sensitivity of prediction error sequence against disturbances, reasonably high level of security could be retained. Advantages ď Reasonably high level of security needs is ensured. HARDWARE REQUIREMENTS Processor : Any Processor above 500 MHz. Ram : 128Mb. Hard Disk : 10 Gb. Compact Disk : 650 Mb. Input device : Standard Keyboard and Mouse. Output device : VGA and High Resolution Monitor. SOFTWARE SPECIFICATION
- 7. LeMeniz Infotech 36, 100 feet Road, Natesan Nagar(Near Indira Gandhi Statue, Next to Fish-O-Fish), Pondicherry-605 005 Call: 0413-4205444, +91 99625 88976, 95663 55386. For More Projects Titles Visits : www.lemenizinfotech.com | Call Us : 9962588976 /9566355386 Do Your Projects With Domain Experts Operating System : Windows Family. Pages developed using : Java Swing Techniques : JDK 1.5 or higher LITERATURE SUMMARY ď Schonberg et. al later investigated the problem of compressing encrypted images when the underlying source statistics is unknown and the sources have memory. ď By applying LDPC codes in various bit-planes and exploiting the inter/intra correlation, Lazzeretti and Barni presented several methods for lossless compression of encrypted grayscale/color images. ď Kumar and Makur applied the approach to the prediction error domain and achieved better lossless compression performance on the encrypted grayscale/color images. ď Aided by rate-compatible punctured turbo codes, Liu et. al developed a progressive method to losslessly compress stream cipher encrypted grayscale/color images. ď Klinc et al. extended Johnsonâs framework to the case of compressing block cipher encrypted data. To achieve higher compression ratios, lossy compression of encrypted data was also studied.
- 8. LeMeniz Infotech 36, 100 feet Road, Natesan Nagar(Near Indira Gandhi Statue, Next to Fish-O-Fish), Pondicherry-605 005 Call: 0413-4205444, +91 99625 88976, 95663 55386. For More Projects Titles Visits : www.lemenizinfotech.com | Call Us : 9962588976 /9566355386 Do Your Projects With Domain Experts ď Zhang et. Al proposed a scalable lossy coding framework of encrypted images via a multi-resolution construction. ď A compressive sensing (CS) mechanism was utilized to compress encrypted images resulted from linear encryption. A modified basis pursuit algorithm can then be applied to estimate the original image from the compressed and encrypted data. Another CS-based approach for encrypting compressed images was reported. ď Zhang designed an image encryption scheme via pixel-domain permutation, and demonstrated that the encrypted file can be efficiently compressed by discarding the excessively rough and fine information of coefficients in the transform domain. ď Zhang et. al suggested a new compression approach for encrypted images through multi-layer decomposition. ď Extensions to blind compression of encrypted videos were developed. ď Despite extensive efforts in recent years, the existing ETC systems still fall significantly short in the compression performance, compared with the state-of- the-art lossless/lossy image compression performance on the encrypted grayscale/color images.