지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.8
- 수록면
- 307 - 322 (16page)
이용수
초록· 키워드
오류제보하기
Steganograpy has been widely used for hiding secret data in various types of other data, such as images, audio, or video. In order to obtain this secret data, an extraction algorithm is used according to the respective steganographic embedding algorithm. Nevertheless, many data hiding methods have three common problems: reversibility or obtaining both secret and cover data in the extraction process, similarity between cover data and stego data, and the size of the secret data that can be hidden. In this paper, we focus on the last two problems while still maintaining reversibility (the first problem) by proposing four methods which are developed based on Difference Expansion. In the first three methods, we use a threshold to control the stego image quality, while in the fourth we use the smoothness level instead of a threshold value. In these proposed methods, we use text and images as the secret and cover data, respectively, where the secret data is embedded into the difference of pixel blocks. The size of these blocks varies. In addition, the difference is reduced before the secret data is embedded. The experimental results show that the secret data as well as the cover data can be reconstructed to be exactly the same as the original. Furthermore, both the capacity of the secret data and the similarity level increase for certain block sizes.
목차
Abstract
Introduction
Related Work
Proposed Methods
Experimental Result
Conclusions
References
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UCI(KEPA) : I410-ECN-0101-2016-505-001069457