International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015 | Rating: 6.6 / 10


An Efficient Compression of Strongly Encrypted Images using Error Prediction, AES and Run Length Coding

Stebin Sunny [2] | Chinju Jacob | Justin Jose T


Abstract: We implement an efficient compression of strongly encrypted images using error prediction, AES encryption and Run Length Encoding. In normal cases image encryption has to be done before the image compression. In such cases will leads to a problem of how to design a couple of algorithm for image encryption and compression while preserving the quality and security of the image. In order to provide most priority to the security of the image in the Encryption-then-Compression (ETC) system, we implement an efficient error prediction mechanism before the strong encryption schema. Block cipher mode of encryption is used to enhance the security of the image. We also demonstrate run length coding based compression scenario to improve the efficiency of image compression. While testing, we are able to compress an encrypted 640000 bit image to 278656 bits and the results shown that the proposed system is more promising and convenient.


Keywords: Encryption-then-Compression, Prediction Error, Run Length Coding, Advanced Encryption Standard


Edition: Volume 4 Issue 10, October 2015,


Pages: 90 - 95



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