A reversible information concealment framework with contrast pull-up utilizing histogram translation

Abstract

The invention discloses a reversible information hiding framework with contrast pull-up by using histogram translation, and designs an improved RDH based on prediction error histogram optimal coding to expand a main body algorithm into an efficient hiding framework with dual embedding capability. Compared with a plurality of previous RDH technologies based on contrast ratio pull-up, the frameworkprovided by the invention not only has higher information embedding rate, but also can generate a secret-containing image with higher quality, and in addition, the security test also proves that the framework can effectively resist a plurality of famous steganalysis technologies (such as Enable classifiers and the like). Moreover, the framework has a dual-embedding function, and can embed copyright information such as an image identifier, a serial number, characters and the like into the carrier on the premise of ensuring the original appearance of the digital carrier, so as to achieve the purposes of copyright protection, integrity check and the like of the carrier.

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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