Image scrambling algorithm based on chaotic weighted sampling theory and sorting transformation

In order to enhance the security of digital image transmitted by network, Ye's algorithm, a typical image permutation algorithm based on sorting transformation was studied. Chaotic interval sampling sequence was introduced into image permutation algorithm. By doing so, image permutation effect was improved. In order to understand the internal principle of enhancing permutation effect, approximate entropy theory was employed. For enlarging key space, based on chaotic interval sampling and sorting transformation, new image permutation algorithm was designed in which Shannon's weighted sum idea was employed. In key space, permutation strength and security against reconstruction attack, the proposed permutation algorithm outperforms traditional chaotic sorting permutation algorithm.