An efficient encryption-then-compression technique for encrypted images using SVD |
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| Affiliation: | 1. Laboratoire Micro-Onde et Radar, Ecole Militaire Polytechnique, P.O. Box 17, 16111 Bordj El Bahri, Algeria;2. Paris Ouest University, LEME EA4416, 50 rue de Sèvres, 92410 Ville d''Avray, France;3. Signal Processing Group, Technische Universität Darmstadt, Merckstr. 25, 64283 Darmstadt, Germany;1. Department of Electronic Engineering, National I-Lan University, Yi-Lan 26041, Taiwan, ROC;2. Department of Information Management, St. Mary’s Junior College of Medicine, Nursing and Management, Yi-Lan 26644, Taiwan, ROC;1. PDPM Indian Institute of Information Technology, Design and Manufacturing , Jabalpur 482005, India;2. Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, Uttrakhand, India;1. Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China;2. Shanghai Key Laboratory of Integrate Administration Technologies for Information Security, Shanghai Jiao Tong University, Shanghai 200240, China;3. Department of Electrical Engineering, Jiangxi Vocational College of Mechanical & Electrical Technology, Nanchang 330013, China |
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| Abstract: | This paper presents a lossy compression technique for encrypted images using Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD) and Huffman coding. The core idea of the proposed technique lies in the selection of significant and less significant coefficients in the wavelet domain. Significant and less significant coefficients are encrypted using pseudo-random number sequence and coefficient permutation respectively. Furthermore, encrypted significant data is compressed by quantization and entropy coding while, less significant encrypted data is efficiently compressed by discarding irrelevant information using SVD and Huffman coding techniques. At receiver side, a reliable decompression and decryption technique is used to reconstruct the original image content with the help of compressed bit streams and secret keys. The performance of proposed technique is evaluated using parameters such as Compression Ratio (CR) and Peak-Signal-to-Noise Ratio (PSNR). Experimental results demonstrate the effectiveness of proposed work over prior work on compression of encrypted images and obtain the compression performance comparable to state of art work on compression of unencrypted images i.e. JPEG standard. |
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| Keywords: | Compression ratio Huffman coding Image compression Peak signal to noise ratio Singular value decomposition |
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