Color image encryption via compressive sensing and chaotic systems

Abstract

In this paper, we design a color image encryption algorithm based on chaotic system and block compressive sensing. Firstly, the sparse representation of the plain-image is obtained by an adaptive learning dictionary. Secondly, the key streams are produced from two excellent lowdimensional chaotic maps, where updating the initial values and parameters rely on the SHA-384 and the input image. Thirdly, three measurement matrices of R, G, B components are constructed from the chaotic sequences, respectively. Finally, a random rows and columns diffusion method is performed on the encrypted image. Experimental results and safety analysis prove that the proposed scheme has excellent performance.

An Image Encryption Algorithm Based on Compressive Sensing and M Sequence

“…Recently, it is necessary to compress and encrypt plain images simultaneously and many novel encryption schemes based on CS and chaotic systems have been proposed [24][25][26][27][28][29][30][31][32][33][34]. A novel digital image information encryption method based on CS and Arnold transformation is proposed in [25].…”