Image hiding and recovering method and device and storage medium

Abstract

The invention belongs to the crossing field of image information security and digital image signal processing and discloses an image hiding and recovering method and device and a storage medium, and the method comprises the steps: taking generated black and white noisy point small blocks with different gray scales as candidate sample small blocks, filtering similar sample small blocks with different gray scales through secondary clustering coding, and screening coding sample small blocks with the same gray scale for secret information coding representation; and finally, placing coded sample small blocks with different gray scales through a random binary reference image in combination with a random secret embedding position to generate a secret-containing shelter. During recovery, coded sample small blocks are generated by the secret key, and secret information is extracted by combining the binary reference image and the secret embedding position. Compared with the prior art, the invention has the advantages that the meaningful image with good visual quality can be generated, no splicing trace is generated, no modification embedding is involved, and the invention has good anti-attack capability; no matter how secret information is embedded, the secret-containing shelter can be recovered into a multi-order halftone shelter image in an equal-quality and lossless mode, the embedding and extracting process completely depends on a user secret key, and high safety is achieved.

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...

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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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