Abstract
In this letter, we propose an improved histogram modification based reversible data hiding technique. In the proposed algorithm, unlike the conventional reversible techniques, a data embedding level is adaptively adjusted for each pixel with a consideration of the human visual system (HVS) characteristics. To this end, an edge and the just noticeable difference (JND) values are estimated for every pixel, and the estimated values are used to determine the embedding level. This pixel level adjustment can effectively reduce the distortion caused by data embedding. The experimental results and performance comparison with other reversible data hiding algorithms are presented to demonstrate the validity of the proposed algorithm.
| Original language | English |
|---|---|
| Article number | 5648443 |
| Pages (from-to) | 95-98 |
| Number of pages | 4 |
| Journal | IEEE Signal Processing Letters |
| Volume | 18 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2011 |
Bibliographical note
Funding Information:Manuscript received October 06, 2010; revised November 16, 2010; accepted November 20, 2010. Date of publication December 03, 2010; date of current version December 20, 2010. This work was supported by Korea University Grant, Seoul Future Contents Convergence (SFCC) Cluster established by Seoul R&BD Program (10570), and Mid-career Researcher Program through National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (2010-0000449).
Keywords
- Data hiding
- human visual system
- just noticeable difference
- lossless watermarking
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics