1（School of Information Engineering,Chang′an University,Xi′an 710064,China）2（School of Physics and Information Engineering,Minnan Normal University,Zhangzhou 363000,China）3（School of Information Science and Technology,Dalian Maritime University,Dalian 116026,China）4（School of Software,Heilongjiang University,Harbin 150080,China）
Abstract：In this paper,a visually meaningful image encryption algorithm is proposed based on the fractional-order Chen hyperchaotic system,compressive sensing and Bernstein polynomial embedding,which aims to simuitaneously achieve double protection of image data and image appearance.The entire encryption process is mainly composed of two stages:pre-encryption and embedding.In the pre-encryption stage,first,the wavelet coefficients of the plain image are encrypted and compressed via the Arnold confusion and the key-controlled measurement matrix generated by the improved Sine map.Next,the encrypted data is linearly quantized between 0 and 255 to generate a noise-like secret image.Meanwhile,to reduce the possibility of being attacked,in the embedding stage,Bernstein polynomial embedding is adopted to hide the noise-like secret image in a publicly available carrier image to generate a visually meaningful cipher image.Additionally,the plaintext eigenvalue is utilized to generate the keystream in the encryption process,thereby improving the ability of the encryption algorithm to withstand the plaintext attacks.Finally,simulation experiments and security analysis indicate that the proposed encryption algorithm is effective,and has good visual security and decryption quality.
2022, Vol. 43 
