NDLI: Reversible data hiding using side-match predictions on steganographic images

Content Provider	Springer Nature Link
Author	Hsu, Fu Hau Wu, Min Hao Wang, Shiuh Jeng
Copyright Year	2012
Abstract	Information hiding is an important method to achieve multi-media security. Recently, many researchers have paid attention to the reversible data hiding scheme, which can completely recover original multi-media files after the embedded data are extracted. In this paper, a side-match approach is proposed to achieve more capacity in histogram-based reversible data hiding for grayscale images. The histogram is created by exploiting the difference in all the values between pixels and their predictedive values. Experimental results show that our method is capable of providing a great embedding capacity without causing noticeable distortion. In one-level hiding, where it has the best capacity, our method conserves image qualities larger than 48 dB. Furthermore, in multilevel hiding, a rotation strategy is proposed to further improve image qualities. Experimental results show that our method performs better than other existing methods in multilevel hiding cases.
Starting Page	571
Ending Page	591
Page Count	21
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	67
Issue Number	3
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2012-03-16
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Information hiding Reversible data hiding Side match Prediction Histogram Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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