A novel image encryption algorithm based on bit-level improved Arnold transform and hyper chaotic map
Zhengchao Ni, Xuejing Kang, Lei Wang · 2016
In this paper, a novel image encryption algorithm based on bit-level Arnold transform and hyper chaotic maps is proposed. To commence, the scheme decomposes the original grayscale image into 8 binary images. Then we use chaos to generate sequences to shift the images before manipulating Arnold transform. Finally, the hyper chaotic map is adopted to produce pseudorandom sequences to diffuse the binary images. The computational simulations have proved that the proposed algorithm is effective for image encryption.