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Region of Interest Fragile Watermarking for Image Authentication

Authors: Yiping Chu; Yin Zhang 0006; Sanyuan Zhang; Xiuzi Ye;

Region of Interest Fragile Watermarking for Image Authentication

Abstract

Digital watermarking plays an important role in image verification and copyright protection. A watermarking scheme for authenticating ROI (region of interest) of image has been proposed in the paper. To embed the watermark in the interior of ROI, Poisson matting technique is introduced to extract the region of interest of image. The color foreground obtained by Poisson matting is converted to the binary image as reference mask. According to principles of wavelet, we construct watermark embedding function and accurately embed watermark in the interior of ROI. Exploiting watermark extraction function, we extract the watermark from watermarked image. Differentiating the values between embedding watermark and extracted watermark can detect whether ROI of image was tampered, and where was tampered. Experiment results have demonstrated that the presented watermarking scheme can detect tamper in the interior of ROI for image authentication.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
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