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中国物理学会期刊

基于SPIHT的图像加密与压缩关联算法

CSTR: 32037.14.aps.61.040505

SPIHT-based joint image compression and encryption

CSTR: 32037.14.aps.61.040505
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  • 为了研究图像压缩与加密同步进行问题, 本文提出了一种在变换域下的图像加密与压缩关联算法在该算法中, 加密过程发生在小波变换与SPIHT编码之间它充分利用了离散小波变换和基于层次树的集合划分(set partitioning in hierarchical trees, SPIHT)编码属性, 扩散过程被限制在单个子带内部. 此外, 混淆过程保留了SPIHT编码中两个最重要的位和符号位, 它包含了图像的重要信息. 实验结果表明, 算法具有良好的安全性、图像重构视觉质量以及很高的加/解密速度.

     

    A joint of image encryption and compression is investigated, and a novel joint encryption and compression scheme is proposed. In our scheme, the encryption process is performed before compression. Making use of the properties of discrete wavelet transform (DWT) and Set Partitioning in Hierarchical Trees (SPIHT) coding, confusion is restricted to the interior of single subband image itself and so image details are retained. Furthermore, diffusion preserves the two most significant bits (MSBs) and the sign bit, which contain important information about the image. The experiments show that the proposed algorithm possesses a good visual quality of the reconstructed image and a high encryption speed.

     

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