An improved image scrambling algorithm based on magic cube rotation and chaotic sequences
Xiao Feng, Xiaolin Tian, Shaowei Xia · 2011
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.