Asymmetric prediction error histogram modification-based reversible information hiding method

Abstract

The invention discloses an asymmetric prediction error histogram modification-based reversible information hiding method. The method comprises the following steps of performing overflow preprocessing;calculating a peak point and a zero point; embedding secret information; extracting the secret information; and performing overflow recovery processing. A compensation principle can be well utilizedno matter whether an embedded information quantity is maximal or minimal; when the embedded information quantity is relatively small, fewer pixel points can be modified, so that the quality of a secret-carrying image is improved; and meanwhile, by utilizing secondary embedding, the image quality is improved while the embedding capacity is expanded.

Description

technical field [0001] The invention relates to the technical field of information security and confidential communication, in particular to a reversible information hiding method based on asymmetric prediction error histogram modification. Background technique [0002] With the development of digitalization and informationization, communication is becoming more and more important. In the communication process, information security is extremely important, so information hiding technology is developed. It breaks the scope of traditional cryptography and examines information security from a new perspective. Its principle is to use redundant information in the carrier to hide secret information. , to achieve secure communication. As a technology for embedding secret information into carriers, it has been widely used in covert communication and other fields. As a branch of information hiding technology, reversible information hiding not only has the characteristics of accurate...

AI Technical Summary

Problems solved by technology

The asymmetric prediction error histogram modification algorithm has the advantages of large embedding capacity and high quality of secret-carrying images, but when the amount of embedded secret information is small, the advantages of protecting the quality of secret-carrying images cannot be well reflected, namely It means: when the amount of embedded information is small, the second embedding process may not be able to be carried out, and the compensation principle cannot be well reflected, so that it cannot meet all actual needs and needs further improvement

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