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摘要
Aiming at the problems that the existing compressive sensing-based meaningful image encryption algorithms have low visual security of the encrypted images and poor quality of the reconstructed images, a 2-dimensional compressive sensing-based (2DCS) meaningful image encryption algorithm was proposed. Firstly, a chaotic pseudo-random sequence generation method associated with plaintext was designed, and the global random permutation and grayscale transformation operations were used for pre-encryption to improve the decrypted image quality. The generated pre-encrypted image was used as the input for 2DCS, and the secret image was generated after the compression encryption and quantization operations. Secondly, the relationship between the hidden and the modified data was considered, and an adaptive embedding method was adopted to modify the carrier coefficient values to improve the visual security of meaningful encrypted image. Finally, the 2-dimensional projection gradient reconstruction method was adopted to decompress and decrypt to obtain the decrypted image. The experimental results show that, compared with the existing algorithms, the proposed algorithm not only improves the visual security of encrypted image and the quality of reconstructed image, but also can resist noise and cropping attacks.
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