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Identigram/watermark removal using cross-channel correlation

Cited 9 time in Web of Science Cited 14 time in Scopus
Authors

Park, Jaesik; Tai, Yu-Wing; Kweon, In So

Issue Date
2012
Publisher
IEEE
Citation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.446-453
Abstract
We introduce a method to repair an image which has been stamped by an identigram or a watermark. Our method is based on the cross-channel correlation which assures the co-occurrence of image discontinuities and correlation of color distributions across different color channels of an image. Using blind source separation, we find the transformation of color space which separates the structures of identigram and that of the original image into two different individual color channels. To repair the image contents in the corrupted channel, we formulate the problem using Bayes' rule where the prior and the likelihood probabilities are defined based on the cross-channel correlation assumption. We compare our results with results from inpainting and texture synthesis-based hole filling techniques. Our results are pleasable for real-world examples and have the maximum PSNR for synthetic examples. © 2012 IEEE.
ISSN
1063-6919
URI
https://hdl.handle.net/10371/201336
DOI
https://doi.org/10.1109/CVPR.2012.6247707
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  • College of Engineering
  • Dept. of Computer Science and Engineering
Research Area Computer Graphics, Computer Vision, Machine Learning, Robotics

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