A General Framework of Reversible Data Hiding with Controlled Contrast Enhancement

被引:2
|
作者
Weng, Shaowei [1 ,2 ,3 ]
Liu, Yiyun [1 ]
Shi, Yunqing [4 ]
Ou, Bo [5 ]
Zhang, Chunyu [6 ]
Wang, Cuiping [7 ]
机构
[1] Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China
[2] Shenzhen Univ, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R China
[3] Shenzhen Univ, Shenzhen Key Lab Media Secur, Shenzhen 518060, Peoples R China
[4] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07103 USA
[5] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China
[6] Xizang Minzu Univ, Sch Informat Engn, Xianyang 712082, Peoples R China
[7] Qingdao Univ, Sch Elect Informat, Qingdao 266071, Peoples R China
来源
CMC-COMPUTERS MATERIALS & CONTINUA | 2020年 / 62卷 / 01期
关键词
Reversible data hiding; controlled contrast enhancement; general framework; PEE-based RDH method; IT-based RDH method; INTEGER TRANSFORM; IMAGE DATA;
D O I
10.32604/cmc.2020.05681
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a two-step general framework for reversible data hiding (RDH) schemes with controllable contrast enhancement. The 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 contrast. In 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 enhancement. However, for HE, the utilization of some peak-pairs easily leads to over-enhanced image contrast when a large number of bits are embedded. Therefore, in our proposed framework, contrast over-enhancement is avoided by controlling the degree of contrast enhancement. Since 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 quality. Any RDH method which can achieve high EC while preserve good visual quality, can be selected for the first step. In fact, Gao et al.'s method is a special case of our proposed framework. In addition, two simple and commonly-used RDH methods are also introduced to further demonstrate the generalization of our framework.
引用
收藏
页码:157 / 177
页数:21
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