A Reversible Information Hiding Method Based on Adaptive Expansion of Two-Dimensional Prediction Error Histogram

Abstract

The invention provides a reversible information hiding method based on self-adaptive expansion of a two-dimensional prediction error histogram, and the method comprises the steps: dividing an originalimage into a black pixel layer and a white pixel layer in a checkerboard mode, and sequentially carrying out the following steps on the black pixel layer and the white pixel layer; pairing the adjacent pixels in the same layer of pixels, predicting pixel values, and obtaining a two-dimensional prediction error histogram; searching an optimal reversible mapping strategy through an adaptive optimization method according to the two-dimensional prediction error histogram; and performing secret information embedding on the image according to the optimal reversible mapping strategy. According to the method, the optimal reversible mapping strategy is found out in a self-adaptive optimization mode, on the premise that the embedding capacity is guaranteed, embedding distortion is reduced, and theembedding performance is improved.

Description

Technical field[0001]The invention relates to the technical field of information security, in particular to a reversible information hiding method based on adaptive expansion of a two-dimensional prediction error histogram.Background technique[0002]In recent years, with the rapid development of computer science and communication technology, digital products have evolved from simple text to products with both pictures and texts, such as images, videos, and streaming media. With the advancement of perception technologies such as images and videos and the popularization of acquisition methods, the number and types of these digital media have increased dramatically, becoming an important part of network information. Because these digital media have the characteristics of undistorted copying and easy editing and modification, they bring information and provide better services, but also cause copyright disputes, content authenticity, and information security. Among them, the information h...

AI Technical Summary

Problems solved by technology

However, the exploration of mapping strategies by current algorithms is still relatively basic, and most of the considerations are low-dimensional histograms, so the flexibility of algorithm design is insufficient, and the advantages of using high-dimensional histograms and optimal mapping strategies cannot be reflected.

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