Paper Info
Title
Image self-recovery with watermark self-embedding.
Abstract
In this paper, an effective image authentication method for image tamper detection and self-recovery is proposed. We embed the fragile watermark of one block which consists of authentication data and recovery data into the other block according to the embedding sequence generated by chaotic map. To reduce the smoothing blocking effect of recovered images, we use the wavelet transform rather than the average as recovery data to enhance the image contrast. In the tamper detection process, a hierarchical tamper detection strategy is adopted to achieve high tamper detection accuracy. To solve tampering coincidence problem, a two-level self-recovery scheme is proposed by considering the 3×3 block-neighborhood. Simulation results demonstrate that the proposed scheme can effectively resist collage attack and constant-average attack, while sustaining superior accuracy of tamper localization. Furthermore, the results show that the tampered images can be effectively self-recovered with a high visual contrast.
Year
DOI
Venue
2018
10.1016/j.image.2018.03.011
Signal Processing: Image Communication
Keywords
Field
DocType
Fragile watermarking,Wavelet,Image authentication,Self-recovery
Computer vision,Self recovery,Visual contrast,Embedding,Authentication,Computer science,Watermark,Smoothing,Artificial intelligence,Self-embedding,Wavelet transform
Journal
Volume
ISSN
Citations 
65
0923-5965
3
PageRank 
References 
Authors
0.37
21
2
Name
Order
Citations
PageRank
Wei-Liang Tai173336.91
Zi-Jun Liao230.37