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학술지 A Novel Difference Expansion Transform for Reversible Data Embedding
Cited 308 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
김형중, Vasiliy Sachnev, Yun Qing Shi, 남제호, 추현곤
발행일
200809
출처
IEEE Transactions on Information Forensics and Security, v.3 no.3, pp.456-465
ISSN
1556-6013
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TIFS.2008.924600
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.
키워드
Data hiding, Information security, Multimedia systems, Reversible data embedding, Reversible integer transform
KSP 제안 키워드
Data Hiding, High embedding capacity, Laplace Distribution, Multimedia systems, Reversible data embedding, difference expansion, information Security, integer transform, location map