An improved image scrambling algorithm based on magic cube rotation and chaotic sequences
An improved image scrambling algorithm based on magic cube rotation and chaotic sequences
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一种基于魔方旋转和混沌序列的改进图像置乱算法
DOI：
10.1109/cisp.2011.6100274
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Shaowei Xia
中科院分区：
文献类型：
--
作者：
Xiao Feng;X. Tian;Shaowei Xia
本文改进了一种基于魔方旋转和逻辑序列的图像置乱算法。改进后的算法调整原始图像的大小，并将调整后的图像划分为六个块来生成立方体。用混沌系统控制的30种不同的旋转方法，以25步旋转这些立方体。旋转后，将这些立方体重新映射为混沌图像。然后利用切比雪夫混沌系统生成旋转方法，对混沌图像进行再置乱，以获得更好的效果。由于旋转方法完全由混沌系统产生，只有混沌系统的参数完全相同，加密图像才能被检索。与基于Arnold变换的算法和基于魔方旋转和逻辑序列的算法相比，改进后的算法置乱程度更好，相邻像素之间的相关性更小。
This paper improves an image scrambling algorithm based on Rubik's cube rotation and logistic sequence. The improved algorithm resizes original image and partitions a resized image into six blocks to generate cubes. Rotate these cubes in 25 steps by using 30 different rotating methods which are controlled by a chaotic system. After rotating, remap those cubes to a chaotic image. Then use Chebyshev chaotic system to generate the rotating methods and scramble the chaotic image again in order to get better result. As the rotation methods are totally generated by the chaotic system, the encrypted image can not be retrieval unless the arguments of the chaotic system are exactly the same. Compared with an algorithm based on Arnold transform and the algorithm based on Rubik's cube rotation and logistic sequence, this improved algorithm has better scrambling degree and less correlation between adjacent pixels.