Optimal coding-based reversible steganography method

Abstract

The invention discloses an optimal coding-based reversible steganography method, which comprises the following steps: generating an original carrier sequence, processing the original carrier sequenceinto a composite carrier sequence in a predetermined manner, and constructing a distortion matrix of the composite carrier sequence; calculating an embedding rate by using a message length to be embedded and the length of the original carrier sequence; calculating the optimal transition probability matrix according to the embedding rate, the distribution probability of the composite carrier sequence, and the distortion matrix; and recursively encoding the composite carrier sequence by using the optimal transition probability matrix so as to reversibly embed a secret message into the compositecarrier sequence with minimal distortion to obtain a secret carrying sequence. The method draws on a distortion model in the steganography field, defines accurate modifying distortion for the reversible hidden carrier, and then uses the optimal coding technique in the reversible hidden field to complete the information embedding with minimal distortion so as to achieve higher security.

Description

technical field [0001] The invention relates to the technical field of reversible hiding optimal coding and steganography, in particular to a reversible steganographic method based on optimal coding. Background technique [0002] The main purpose of steganography is to use images, audio, video and other carriers to cover up secret messages and realize covert communication. Areas in the signal that are weakly correlated and difficult to model (such as areas with complex textures in images) are more suitable for modification, because modifying embedded information in such areas is difficult to detect, while embedding information in highly correlated areas is easy. Detected. This motivates steganography to adaptively modify regions with less distortion (hard to detect) preferentially. Correspondingly, steganographic coding technology is also developing in the direction of self-adaptation. In response to this requirement, Filler et al. proposed a practical distortion-minimizi...

AI Technical Summary

Problems solved by technology

[0007] Although the method of Hong et al. is one of the latest reversible steganography methods, they also proposed the concept of reversible steganography first; however, its defect is that it does not define the exact modification distortion for the modified pixels, but only generally prioritizes the modification of complex Region pixels to enhance their detection resistance

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