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Image Encryption Algorithm Based on Chaos and Contourlet Transform

机译:基于混沌和Contourlet变换的图像加密算法

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A new algorithm based on chaos and Contourlet is presented in this paper for image encryption. Firstly, the image is decomposed with contourlet into several sub-bands. Three bands are selected to encrypt. At the same time, we divide the bands into 8×8 non-covered blocks, respectively. Secondly, two natural chaotic sequences are created with the key. With one chaotic sequence, the encryption template used to adjust transform coefficients is made. Finally, after inverse contourlet transform, the image matrix is transformed to an encrypted image by Magic Cube Transformation. The decryption operation is the reverse process. The experimental results suggest that the algorithm proposed not only has good encryption ability, but also can withstand the attack of JPEG compression, the effects of noise and cropping to some extent.
机译:本文提出了一种基于混沌和轮廓的新算法,用于图像加密。首先,图像用Contoullet分解成几个子带。选择三个频段来加密。与此同时,我们分别将频段分成8×8非覆盖块。其次,用钥匙创建两个天然混沌序列。使用一种混沌序列,进行了用于调整变换系数的加密模板。最后,在逆轮廓变换之后,通过魔术多维数据集转换将图像矩阵变换为加密图像。解密操作是反向过程。实验结果表明,该算法不仅具有良好的加密能力,还可以承受JPEG压缩的攻击,噪音的影响和种植在一定程度上。

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