ICTACT Journal on Image and Video Processing

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Improving Efficiency in Image Encryption and Compression Using Permutations & Predictions


Affiliations
1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, India
     

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Due to rapid growth in image sizes, an alternate of numerically lossless coding named visually lossless coding is considered to reduce storage size and lower data transmission. In this paper, a lossy compression method on encrypted color image is introduced with undetectable quality loss and high compression ratio. The proposed method includes the Zhang lossy compression [1], Hierarchical Oriented Prediction (HOP) [2], uniform quantization, negative sign removal, concatenation of 7-bit data and Huffman compression. The encrypted image is divided into rigid and elastic parts. The Zhang elastic compression is applied on elastic part and HOP is applied on rigid part. This method is applied on different test cases and the results were evaluated. The experimental evidences suggest that, the proposed method has better coding performance than the existing encrypted image compressions, with 9.645 % reductions in bit rate and the eye perception is visually lossless.

Keywords

HOP, Huffman Compression, Encryption, Permutation, Rigid Data, Elastic Data.
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  • Xinpeng Zhang, “Lossy Compression and Iterative Reconstruction for Encrypted Images”, IEEE Transactions on Information Forensics and Security, Vol. 6, No. 1, pp. 53-58, 2011.

  • Jonathan Taquet and Claude Labit, “Hierarchical Oriented Predictions for Resolution Scalable Lossless and Near-Lossless Compression of CT and MRI Biomedical Images”, IEEE Transactions on Image processing, Vol. 21, No. 5, pp. 2641-2652, 2012.

  • Abdul Razzaque and Nileshsingh V. Thakur, “Image Compression and Encryption: An Overview”, International Journal of Engineering Research and Technology, Vol. 1, No. 5, pp. 1-7, 2012

  • V.K. Govindan and B.S. Shajee Mohan, “An Intelligent Text Data Encryption and Compression for High Speed and Secure Data Transmission over Internet”, International Journal of Computer Science and Technology, Vol. 3, No. 4, pp. 735-739, 2012.

  • Maninder Kaur, “A Review Paper on a Secure Image Encryption-Then Compression System using Wavelet Via Prediction Error Clustering and Random Permutation”, International Journal of Engineering Sciences and Research Technology, Vol. 4, pp. 570-574, 2015.

  • Shuqun Zhang and Mohammed A. Karim, “Color Image Encryption using Double Random Phase Encoding”, Microwave and Optical Technology Letters, Vol. 21, No. 5, pp. 318-322, 1999.

  • James Kelley and Roberto Tamassia, “Theory and Practice”, Available at: https://eprint.iacr.org/2014/113.pdf

  • S.S. Maniccam and N.G. Bourbakis, “SCAN Based Lossless Image Compression and Encryption”, Proceedings of International Conference on Information Intelligence and System, pp. 490-499, 1999

  • Masanori Ito, Noboru Ohnishi, Ayman Alfalou and Ali Mansour, “New Image Encryption and Compression Method Based On Independent Component Analysis”, Proceedings of 3rd International Conference on Information and Communication Technologies: From Theory to Applications, pp. 1-6, 2007

  • V. Radha and D. Maheswari, “Secured Compound Image Compression using Encryption Techniques”, Proceedings of the World Congress on Engineering and Computer Science, Vol. 1, pp. 1-3, 2011

  • Wei Liu, Wenjun Zeng, Lina Dong and Qiuming Yao, “Resolution-Progressive Compression of Encrypted Grayscale Images”, Proceedings of 15th IEEE International Conference on Image Processing, pp. 2208-2211, 2007.

  • B.M. Shreedhar, I.L. Vishal and N. Hemavathi, “Image Encryption-Then-Compression System via Prediction Error Clustering and Lossless Encoding”, International Journal of Innovative Research in Information Security, Vol. 4, No. 2, pp. 33-39, 2015.

  • D. Ranjani and G. Selvavinayagam, “Improving Efficiency in Image Encryption Then Compression System”, International Journal for Research in Applied Science and Engineering Technology, Vol. 3, No. 3, pp. 359-363, 2015.

  • Shih-Ching Ou, Hung-Yuan Chung and Wen-Tsai Sung, “Improving the Compression and Encryption of Images using FPGA-based Cryptosystems”, Multimedia Tools and Applications, Vol. 5, No. 1, pp. 22-27, 2006.

  • B.C. Prudhvi Teja and M. Venkatesh Naik, “A New Approach Of Image Compression-Encryption System Based On Optimal Value Transfer”, International Journal of Emerging Technology in Computer Science and Electronics, Vol. 16, No. 2, pp. 43-45, 2015.

  • Diego Santa Cruz and Touradj Ebrahimi, “An Analytical Study of JPEG 2000 Functionalities”, Proceedings of IEEE International Conference on Image Processing, pp. 49-52, 2000.

  • M. Johnson, P. Ishwar, V. Prabhakaran, D. Schonberg and K. Ramchandran, “On compressing Encrypted Data”, IEEE Transactions on Signal Processing, Vol. 52, No. 10, pp. 2992-3006, 2004.


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  • Improving Efficiency in Image Encryption and Compression Using Permutations & Predictions

Abstract Views: 199  |  PDF Views: 5

Authors

S. Shunmugan
Department of Computer Science and Engineering, Manonmaniam Sundaranar University, India
P. Arockia Jansi Rani
Department of Computer Science and Engineering, Manonmaniam Sundaranar University, India

Abstract


Due to rapid growth in image sizes, an alternate of numerically lossless coding named visually lossless coding is considered to reduce storage size and lower data transmission. In this paper, a lossy compression method on encrypted color image is introduced with undetectable quality loss and high compression ratio. The proposed method includes the Zhang lossy compression [1], Hierarchical Oriented Prediction (HOP) [2], uniform quantization, negative sign removal, concatenation of 7-bit data and Huffman compression. The encrypted image is divided into rigid and elastic parts. The Zhang elastic compression is applied on elastic part and HOP is applied on rigid part. This method is applied on different test cases and the results were evaluated. The experimental evidences suggest that, the proposed method has better coding performance than the existing encrypted image compressions, with 9.645 % reductions in bit rate and the eye perception is visually lossless.

Keywords


HOP, Huffman Compression, Encryption, Permutation, Rigid Data, Elastic Data.

References