Abstract | ||
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Reversible data embedding theory has marked a new epoch for data hiding and information security. Being reversible, the original data and the embedded data should be completely restored. Difference expansion transform is a remarkable breakthrough in reversible data-hiding schemes. The difference expansion method achieves high embedding capacity and keeps distortion low. This paper shows that the difference expansion method with the simplified location map and new expandability can achieve more embedding capacity while keeping the distortion at the same level as the original expansion method. Performance of the proposed scheme in this paper is shown to be better than the original difference expansion scheme by Tian and its improved version by Kamstra and Heijmans. This improvement can be possible by exploiting the quasi-Laplace distribution of the difference values. |
Year | DOI | Venue |
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2008 | 10.1109/TIFS.2008.924600 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
original data,original difference expansion scheme,reversible data embedding,reversible data,original expansion method,novel difference expansion transform,embedded data,difference value,difference expansion,embedding capacity,difference expansion method,high embedding capacity,image quality,image restoration,data hiding,pixel,information security,laplace distribution,degradation,payloads | Location map,Embedding,Pattern recognition,Computer science,Information hiding,Algorithm,Image quality,Theoretical computer science,Pixel,Artificial intelligence,Image restoration,Distortion | Journal |
Volume | Issue | ISSN |
3 | 3 | 1556-6013 |
Citations | PageRank | References |
128 | 5.15 | 13 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hyoung-Joong Kim | 1 | 1295 | 81.25 |
V. Sachnev | 2 | 128 | 5.15 |
Yun Qing Shi | 3 | 518 | 23.34 |
Je-Ho Nam | 4 | 440 | 23.94 |
Hyon-Gon Choo | 5 | 134 | 8.25 |