Meaningful color image encryption algorithm based on compressive sensing and chaotic map
Min Liu, Guodong Ye, Qiuzhen Lin · 2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) · 2021
At present, most image encryption algorithms protect the security of the plain images by encrypting them into visually meaningless cipher images similar to noises. However, noise-like images can easily attract the attention of an attacker, thus increasing the risk of being broken. Based on this, a visually meaningful image encryption algorithm based on compressive sensing and chaotic map is proposed in this paper. The proposed image encryption algorithm consists of three steps: compression, encryption and hiding. Here, the compression part uses the compressive sensing technology to compress the plain image. Then, the encryption part transforms the compressed image into a meaningless noise-like image by confusion operation. Finally, the hiding process is to embed the encrypted image into a carrier image to achieve a visual hiding effect and reduce the attention of the attacker to the carrier image. Experimental results and analysis show that the proposed algorithm has satisfactory hiding effect and high-quality information reconstruction and extraction. Especially, the values of PSNR can surpass 30 dB in the tests.