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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaocheng Hu Weiming Zhang Xiaolong Li Nenghai Yu |
| Copyright Year | 2005 |
| Abstract | Prediction-error expansion (PEE)-based reversible data hiding schemes consist of two steps. First, a sharp prediction-error (PE) histogram is generated by utilizing pixel prediction strategies. Second, secret messages are reversibly embedded into the prediction-errors through expanding and shifting the PE histogram. Previous PEE methods treat the two steps independently while they either focus on pixel prediction to obtain a sharp PE histogram, or aim at histogram modification to enhance the embedding performance for a given PE histogram. This paper propose a pixel prediction method based on the minimum rate criterion for reversible data hiding, which establishes the consistency between the two steps in essence. And correspondingly, a novel optimized histograms modification scheme is presented to approximate the optimal embedding performance on the generated PE sequence. Experiments demonstrate that the proposed method outperforms the previous state-of-art counterparts significantly in terms of both the prediction accuracy and the final embedding performance. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 653 |
| Ending Page | 664 |
| Page Count | 12 |
| File Size | 1950351 |
| File Format | |
| ISSN | 15566013 |
| Volume Number | 10 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Indexes Entropy Predictive models Image coding Rate-distortion Context optimized histograms modification prediction-error expansion reversible data hiding minimum rate prediction Prediction-error expansion |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Safety, Risk, Reliability and Quality |
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