Image hiding and restoring method, device and storage medium

Abstract

The invention belongs to the cross field of image information security and digital image signal processing, and discloses a method, device and storage medium for image hiding and restoration. By using small blocks of black and white noise in different gray scales as candidate sample blocks, through two Sub-clustering encoding filters out similar sample blocks of different gray levels to filter out the same gray level encoded sample blocks for coded representation of secret information. Finally, the coded sample blocks of different gray levels are placed by random binary reference image combined with random embedding position to generate dense cover. When recovering, the coded sample block is generated by the key, and the secret information is extracted by combining the binary reference image and the embedding position. Compared with the existing methods, the present invention can generate meaningful images with good visual quality, without any splicing traces, and does not involve any modification and embedding, and has better anti-attack capability; Both can be restored to multi-level halftone mask images with equal quality and lossless, and the embedding and extraction process completely depends on the user key, which has high security.

Description

technical field [0001] The invention belongs to the intersection field of image information security and digital image signal processing, and relates to an image hiding and restoring method, device and storage medium. Background technique [0002] Traditional information hiding methods generally use modified embedding methods, such as literature on steganography: YANG T, 2017 (YANG T, CHEN H. Matrix embedding in steganography with binary Reed–Mullercodes [J]. Iet Image Processing, 2017, 11 ( 7):522-529), Mao Binghua, 2019 (Mao Binghua, Wang Zichi, Zhang Xinpeng. Asymmetric JPEG Steganography Based on DCT Domain Correlation [J]. Computer Science, 2019,46(01):203-207); Deposited literature: Shao Liping, 2018 (Shao Liping, Le Zhifang. Multi-threshold progressive secret image sharing scheme based on DCT [J]. Information Network Security, 2018(3):54-62), Huang Yanyan, 2018 (Huang Yanyan , Shao Liping. Multi-carrier dense image sharing method combined with EMD-cl embedding [J]. C...

AI Technical Summary

Problems solved by technology

[0007] However, such methods still have splicing traces. In addition, these methods embed relevant parameters of the reconstructed secret information image, such as the position information of the small block of the dense map, index information, the mean difference between the small block of the dense map and the small block of the bunker, and the secret image. The modified embedding method is adopted for the rotation angle of the small block, so the inherent modification trace problem of the traditional modified information hiding cannot be avoided.

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