Visually secure multiple image encryption scheme based on the newly chaotic map and compressed sensing

Abstract Due to the large amount of information and intuitive characteristics, the image has become an important information carrier in our daily life, so its security has been an important direction in the field of information security. This paper mainly studies the problems of multiple images information hiding and visual security, and considers the advantages of block compressed sensing to design an image visual security encryption scheme. Firstly, we design a new chaotic map and block Arnold transform, combining with block compression sensing theory to scramble and encrypt the plain images after 2D Discrete Wavelet Transform (2D DWT), and obtain the secret images to be hidden. Finally, the secret images are embedded into the carrier image after the 2D Fast Fourier Transform (2D FFT) to hide, and the visually secure cipher image is obtained. Experiments demonstrate that the proposed scheme can effectively realize the information hiding and recovery of four images, while exhibiting strong robustness against noise interference and clipping attacks.