NDLI: Statistical analysis of several reversible data hiding algorithms

Content Provider	Springer Nature Link
Author	Zhao, Hong Wang, Hongxia Khurram Khan, Muhammad
Copyright Year	2009
Abstract	In this paper, the truth that the current reversible data hiding algorithms are detectable is confirmed by experimental analysis method. By analyzing the distributions of horizontal pixel difference of natural images and watermarked images using several models, we find that the horizontal difference histogram of natural image is significantly altered after being embedded secret message. Furthermore, the difference between the horizontal and the vertical difference histogram of natural image is much less than that of the watermarked image. Then the presence of hiding message can be detected according to the distance between the horizontal and the vertical difference histogram. Experimental results demonstrate that our approach is effective and efficient than the already published schemes.
Starting Page	277
Ending Page	290
Page Count	14
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	52
Issue Number	2-3
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2009-10-06
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Reversible data hiding Detectability Statistical distribution models of difference Multimedia Information Systems Computer Communication Networks Special Purpose and Application-Based Systems Data Structures, Cryptology and Information Theory
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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