DocumentCode :
3418457
Title :
A ROI-based self-embedding method with high recovery capability
Author :
Hongliang Cai ; Huajian Liu ; Steinebach, Martin ; Xiaojing Wang
Author_Institution :
Chengdu Inst. of Comput. Applic., Chengdu, China
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
1722
Lastpage :
1726
Abstract :
In this paper, a novel block-wise fragile image watermarking algorithm for tampering localization and recovery is proposed. The image is divided into Region of Interest (ROI) and Region of Non Interest (RONI). Considering the ROI-based self-embedding problem as a special erasure channel, fountain code is applied in our method to deal with the reference symbols loss. And to minimize quality degradation in ROI, the reference symbols for recovery are only embedded into RONI blocks. Theoretical analysis shows that the result is nearly optimal, and the experimental results demonstrate the proposed method can offer low payload and high tamper tolerance. And the quality of both the watermarked image and the reconstructed image is high.
Keywords :
channel coding; embedded systems; image reconstruction; image watermarking; ROI-based self-embedding method; RONI-based self-embedding problem; block-wise fragile image watermarking algorithm; fountain code; high recovery capability; image quality degradation minimization; image reconstruction; reference symbol loss; region of interest; region of noninterest; special erasure channel; tampering localization; tampering recovery; Authentication; Biomedical imaging; Decoding; Encoding; Image reconstruction; Payloads; Watermarking; Region of Interest; fountain code; multimedia authentication; watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7178265
Filename :
7178265
Link To Document :
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