상세정보
학술지
A Novel Difference Expansion Transform for Reversible Data Embedding
- 발행일
- 200809
- 출처
- IEEE Transactions on Information Forensics and Security, v.3 no.3, pp.456-465
- ISSN
- 1556-6013
- 출판사
- IEEE
- 협약과제
- 08MR4100, 지상파 DTV 방송프로그램 보호기술 개발, 남제호
- 초록
- 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. © 2008 IEEE.
- KSP 제안 키워드
- Data Hiding, High embedding capacity, Laplace Distribution, Reversible data embedding, difference expansion, information Security, location map