@article{23cc1611aeaa43cca39227daf4043fa3,
title = "Deblurring of color images corrupted by impulsive noise",
abstract = "We consider the problem of restoring a multichannel image corrupted by blur and impulsive noise (e.g., salt-and-pepper noise). Using the variational framework, we consider the L1 fidelity term and several possible regularizers. In particular, we use generalizations of the Mumford-Shah (MS) functional to color images and Γ-convergence approximations to unify deblurring and denoising. Experimental comparisons show that the MS stabilizer yields better results with respect to Beltrami and total variation regularizers. Color edge detection is a beneficial by-product of our methods.",
keywords = "Color image processing, Deblurring, Denoising, Impulse noise, Mumford-Shah (MS) functional",
author = "Leah Bar and Alexander Brook and Nir Sochen and Nahum Kiryati",
note = "Funding Information: Manuscript received October 10, 2005; revised November 21, 2006. This work was supported in part by the A.M.N. Foundation, in part by the Israel Science Foundation, and in part by MUSCLE: Multimedia Understanding through Semantics, Computation and Learning, a European Network of Excellence funded by the EC 6th Framework IST Programme. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Michael Elad.",
year = "2007",
month = apr,
doi = "10.1109/TIP.2007.891805",
language = "אנגלית",
volume = "16",
pages = "1101--1111",
journal = "IEEE Transactions on Image Processing",
issn = "1057-7149",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",
}