Pixel-Value-Ordering Based Reversible Data Hiding with Adaptive Texture Classification and Modification

被引:4
作者
Ou, Bo [1 ]
Li, Xiaolong [2 ]
Li, Wei [3 ]
Shi, Yun-Qing [4 ]
机构
[1] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China
[2] Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
[3] Capital Normal Univ, Sch Math Sci, Beijing 100048, Peoples R China
[4] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
来源
DIGITAL FORENSICS AND WATERMARKING, IWDW 2018 | 2019年 / 11378卷
基金
美国国家科学基金会;
关键词
Reversible data hiding; Block classification; Adaptive embedding; IMAGE WATERMARKING; EXPANSION; FRAMEWORK;
D O I
10.1007/978-3-030-11389-6_13
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Pixel-value-ordering (PVO) is a new technique for the high-fidelity reversible data hiding (RDH). It contains a process of sorting the pixels of a block by their values at first and then embedding into data bits into the maximum or minimum pixels of a block. In this paper, we propose to modify the pixel blocks differently according to how smooth they are, and embed the adequate number of bits into different types of blocks. The pixel blocks are first classified into five types based on the local complexity. The maximum pixels of the most smooth block will be embedded at most four bits, and the less smooth ones are embedded with a lower number of bits. The block classification is dynamically adjusted to achieve the adaptive embedding with the best trade-off between the capacity and the embedding distortion. Experimental results show that the proposed method can give a better performance over the previous PVO-based methods.
引用
收藏
页码:169 / 179
页数:11
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