An efficient encryption-then-compression technique for encrypted images using SVD
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- 作者：Manoj KumarAuthor Vitae ; Ankita Vaish ; av21lko@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Compression ratio ; Huffman coding ; Image compression ; Peak signal to noise ratio ; Singular value decomposition
- 刊名：Digital Signal Processing
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：60
- 期：Complete
- 页码：81-89
- 全文大小：1544 K
文摘
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.