A joint image compression and encryption algorithm based on compression sensing and bit-plane embedding

Abstract

In medical, financial and other fields, the direct transmission of digital images in public channels is vulnerable to attacks and information leakage. In order to solve such problems, this paper proposes a new one-dimensional chaotic map. The information hiding visual security algorithm is based on the chaotic sequence diffusion image and bit plane decomposition technology, which greatly improves the visual security of the embedded image, and its structure and vision maintain a high degree of similarity with the carrier image. Firstly, a new one-dimensional chaotic map is proposed. The generated key stream can improve the randomness of the algorithm. Secondly, we optimize the measurement matrix to reduce the minimum coherence between the matrices and improve the reconstruction performance. Then we obtain the intermediate state cipher image through compression and encryption, and then embed the intermediate state cipher image by decomposing the carrier image bit plane, and finally obtain a visual security image. The experimental results show that, compared with the existing related literature, the algorithm has better reconstruction performance, security performance and operational efficiency.