A Reversible Information Hiding Method with Contrast Pulling Using Histogram Shift

Abstract

The invention discloses a reversible information hidden framework with a contrasting of the rechargeable diagram, and the RDH, which is an optimal encoded based on predictive errors, expands the main algorithm into an efficient hidden framework with dual embedded capabilities.Compared with the previous framework, the framework proposed by the present invention is not only a higher information embedded rate, but also a higher quality -containing image. In addition, the security test also proves that the present invention can effectively effectiveResist many famous hidden analysis technologies (such as Ensemble classifiers, etc.).Moreover, this framework has a dual embedded function. Under the premise of ensuring the original appearance of the digital carrier, the copyright information such as the image identity, serial number, text, and other copyright information is embedded in the carrier to achieve the purpose of copyright protection and complete verification of the carrier.Essence

Description

technical field [0001] The invention relates to a reversible information hiding framework, in particular to a reversible information hiding framework with contrast enhancement using histogram translation, and belongs to the technical field of reversible information hiding. Background technique [0002] Reversible information hiding (RDH, reversible data hiding) is proposed as a special information hiding technology. Using reversible hiding can not only extract the embedded information from the encrypted carrier, but also restore the original carrier from the encrypted carrier without loss. Different from the traditional information hiding techniques of digital watermarking and steganography, reversible hiding mainly focuses on the reversibility of the embedding algorithm and the distortion measurement between the encrypted carrier and the original carrier. [0003] Reversible information hiding can be extended to many new domain applications, such as reversible storage and ...

AI Technical Summary

Problems solved by technology

In addition, most of the current image processing algorithms are irreversible, that is, the processed image cannot be restored to its original state

This kind of irreversibility will bring great inconvenience to users. Users and enterprises must realize the reversible restoration of the original image by storing the entire original image, which will almost double the storage resources, while reversible image processing It can greatly save the storage space of the original image

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