Fast Two-Phase Image Deblurring Under Impulse Noise
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AbstractIn this paper, we propose a two-phase approach to restore images corrupted by blur and impulse noise. In the first phase, we identify the outlier candidates-the pixels that are likely to be corrupted by impulse noise. We consider that the remaining data pixels are essentially free of outliers. Then in the second phase, the image is deblurred and denoised simultaneously by a variational method by using the essentially outlier-free data. The experiments show several dB's improvement in PSNR with respect to the typical variational methods.
All Author(s) ListCai JF, Chan RH, Nikolova M
Journal nameJournal of Mathematical Imaging and Vision
Volume Number36
Issue Number1
PublisherSpringer Verlag (Germany)
Pages46 - 53
LanguagesEnglish-United Kingdom
KeywordsDeblurrind; Impulse noise; Two-phase methods
Web of Science Subject CategoriesComputer Science; Computer Science, Artificial Intelligence; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE; Computer Science, Software Engineering; COMPUTER SCIENCE, SOFTWARE ENGINEERING; Mathematics; Mathematics, Applied; MATHEMATICS, APPLIED

Last updated on 2020-27-10 at 01:31