Multiple Histograms-Based Reversible Data Hiding: Framework and Realization
Document Type
Article
Publication Date
8-1-2020
Abstract
Reversible data hiding (RDH) has unique advantage in copyright and integrity protection for multimedia contents. As a typical RDH scheme, histogram shifting technique (HS) has found wide applications due to its high quality of marked image. At present, most existing HS-based RDH schemes rely on single histogram generated from cover image to hide data. Since the single histogram-based approach (SHRDH) commonly employs smooth regions in the cover image for data hiding, it might not well utilize the cover image and exploit the correlations among image contents of different texture characteristics. In this paper, a novel RDH general framework using multiple histograms modification (MHRDH) is proposed, which involves two key issues as follows: 1) the construction of multiple histograms based on optimized multi-features and 2) the rate allocation among multiple histograms is formulated as the one of rate-distortion optimization and solved with evolutionary algorithms. The experimental results show that the proposed method could considerably increase the payload of current MHRDH-based embedding (ranging from 0.2 to 0.7 bpp for most test images) and outperform the other state-of-the-art SHRDH and MHRDH schemes.
Identifier
85089550543 (Scopus)
Publication Title
IEEE Transactions on Circuits and Systems for Video Technology
External Full Text Location
https://doi.org/10.1109/TCSVT.2019.2915584
e-ISSN
15582205
ISSN
10518215
First Page
2313
Last Page
2328
Issue
8
Volume
30
Grant
GJJ1707619
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Wang, Junxiang; Chen, Xin; Ni, Jiangqun; Mao, Ningxiong; and Shi, Yunqing, "Multiple Histograms-Based Reversible Data Hiding: Framework and Realization" (2020). Faculty Publications. 5119.
https://digitalcommons.njit.edu/fac_pubs/5119
