Multi-histogram Reversible Data Hiding with Contrast Enhancement
Document Type
Article
Publication Date
1-1-2022
Abstract
The basic principle of reversible data hiding with contrast enhancement ab-breviated as RDH-CE is to enhance the perceived contrast of stego images using an reversible data-embedding manner. Considering that existing RDH-CE methods can only enhance the global contrast of the image but ignore or may even reduce the local contrast, an RDH-CE method combining K-means clustering with multiple features is proposed in this paper. K-means clustering with multiple features is employed to yield multiple histograms. Adaptive contrast enhancement based on the local properties of multiple histograms is applied to enhance the local contrast as well as global contrast while achieving satisfactory embedding capacity. The experimental results also demonstrate the effectiveness of the proposed method.
Identifier
85124891758 (Scopus)
Publication Title
Journal of Network Intelligence
e-ISSN
24148105
First Page
198
Last Page
208
Issue
1
Volume
7
Grant
2020J06043
Recommended Citation
Weng, Shaowei; Zhou, Ye; You, Bingbing; Zhang, Tiancong; Yang, Caijie; Zhang, Chunyu; and Shi, Yunqing, "Multi-histogram Reversible Data Hiding with Contrast Enhancement" (2022). Faculty Publications. 3417.
https://digitalcommons.njit.edu/fac_pubs/3417