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A singular value decomposition based approach for the compression of encrypted images

机译:基于奇异值分解的加密图像压缩方法

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摘要

Image compression is a process which supplies a good solution to the current problems of data storage by reducing redundancy, and irrelevance within images. This paper provides effective encryption then compression technique applied for compressing images within the entire domain of encryption. The Singular Value Decomposition (SVD) application has been described for the results of compression from an image encrypted based on Discrete wavelet transforms (DWT). Initially, the original image has been decomposed into a pyramid of wavelet by utilizing DWT. The DWT subbands are enciphered via a pseudo random number and pseudo random permutation. Then, encrypted images are compressed evaluated by the SVD method which encompasses the corresponding singular values and singular vectors. The performance evaluated on several images and the experimental results and security evaluation is given to validate the explained goals of high security and good compression performance.
机译:图像压缩是通过减少图像中的冗余和不相关性,为当前数据存储问题提供良好解决方案的过程。本文提供了一种有效的先加密再压缩技术,用于在整个加密域内压缩图像。对于基于离散小波变换(DWT)加密的图像的压缩结果,已经描述了奇异值分解(SVD)应用程序。最初,原始图像已通过利用DWT分解为小波金​​字塔。 DWT子带通过伪随机数和伪随机置换被加密。然后,通过包含相应奇异值和奇异矢量的SVD方法对加密图像进行压缩评估。在几张图像上评估了性能,并给出了实验结果和安全性评估,以验证所解释的高安全性和良好压缩性能的目标。

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