Image steganography method based on Gibbs sampling

Abstract

The invention discloses an image steganography method based on Gibbs sampling. Firstly, array segmentation is carried out on a steganography image based on a field clustering idea, and Gibbs sampling and STC coding are carried out on segmented sub-arrays; and secondly, direction information (including horizontal, vertical and opposite angle information) of sub-array images is fully utilized, a weighted summation mode is adopted to obtain a steganography distortion function, and higher-order statistic characteristics of the image is maintained. A Gibbs sampling theory is utilized to realize information embedding, so that the embedding distortion is minimized, and the characteristic model of the steganography image is maintained; in addition, function parameters are optimized in a Fisher rule frame, so that the excessive optimization problem of an image characteristic set is effectively avoided. Shown by experiments, the distortion of the image model is reduced, the classification error of the steganography image is effectively improved, and the steganography safety is enhanced.

Description

technical field [0001] The invention relates to an image steganography method, in particular to an image steganography method based on Gibbs sampling. Background technique [0002] The main purpose of the image steganography algorithm is to use the image as the carrier to transmit secret information, requiring low distortion, high efficiency, and low detection error in the process of steganography. With the development of image big data information technology, the demand for image steganography is getting higher and higher, and it has gradually become a research hotspot in modern image processing. At present, the research on image steganography algorithm mainly focuses on two aspects: steganographic distortion effect and carrier image model preservation. Among them, the research purpose of steganography distortion effect is to reduce the distortion interference caused by steganography to the carrier image. STC (Syndrome-trellis code) coding technology realizes the coding ru...

AI Technical Summary

Problems solved by technology

However, this method only considers the correlation of adjacent frame images, and the accuracy and range cannot meet the needs of modern image steganography technology.

At present, most of the research on the maintenance of the carrier image model is to maintain and optimize a single feature of the image, while ignoring other feature information. Although the calculation is simple, the security is poor.

Among them, the more representative one is the adaptive steganography method based on local complexity, which maintains the first-order histogram feature model of the image well, but the high-order feature distortion of the image is serious.

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