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A General Framework of Reversible Data Hiding with Controlled Contrast Enhancement

Computers, Materials & Continua 2020年第1期62卷 157-177页

作者： Shaowei Weng Yiyun Liu Yunqing Shi Bo Ou Chunyu Zhang Cuiping Wang School of Information Engineering Guangdong University of TechnologyGuangzhou510006China Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security Shenzhen UniversityShenzhen518060China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07103 USA College of Computer Science and Electronic Engineering Hunan UniversityChangsha410082China School of Information Engineering Xizang Minzu UniversityXianyang712082China School of Electronic Information Qingdao UniversityQingdao266071China

This paper proposes a two-step general framework for reversible data hiding(rdh)schemes with controllable contrast *** first step aims at preserving visual perception as much as possible on the basis of achieving high embedding capacity(EC),while the second step is used for increasing image *** the second step,some peak-pairs are utilized so that the histogram of pixel values is modified to perform histogram equalization(HE),which would lead to the image contrast ***,for HE,the utilization of some peak-pairs easily leads to over-enhanced image contrast when a large number of bits are ***,in our proposed framework,contrast over-enhancement is avoided by controlling the degree of contrast *** the second step can only provide a small amount of data due to controlled contrast enhancement,the first one helps to achieve a large amount of data without degrading visual *** rdh method which can achieve high EC while preserve good visual quality,can be selected for the first *** fact,Gao et al.’s method is a special case of our proposed *** addition,two simple and commonly-used rdh methods are also introduced to further demonstrate the generalization of our framework.

关键词： Reversible data hiding controlled contrast enhancement general framework PEE-based rdh method it-based rdh method

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