Abstract
A novel image encryption scheme based on parallel compressive sensing and edge detection embedding technology is proposed to improve visual security.Firstly,the plain image is sparsely represented using the discrete wavelet transform.Then,the coefficient matrix is scrambled and compressed to obtain a size-reduced image using the Fisher-Yates shuffle and parallel compressive sensing.Subsequently,to increase the security of the proposed algorithm,the compressed image is re-encrypted through permutation and diffusion to obtain a noise-like secret image.Finally,an adaptive embedding method based on edge detection for different carrier images is proposed to generate a visually meaningful cipher image.To improve the plaintext sensitivity of the algorithm,the counter mode is combined with the hash function to generate keys for chaotic systems.Additionally,an effective permutation method is designed to scramble the pixels of the compressed image in the re-encryption stage.The simulation results and analyses demonstrate that the proposed algorithm performs well in terms of visual security and decryption quality.
基金项目
Key Area R&D Program of Guangdong Province(2022B0701180001)
National Natural Science Foundation of China(61801127)
Science Technology Planning Project of Guangdong Province,China(2019B010140002)
Science Technology Planning Project of Guangdong Province,China(2020B111110002)
Guangdong-Hong Kong-Macao Joint Innovation Field Project(2021A0505080006)
万方数据