Deblurring of Color Images Corrupted by Impulsive Noise

Authors:
L. Bar;A. Brook;N. Sochen;N. Kiryati
Affiliations:
Dept. of Electr. & Comput. Eng., Minnesota Univ.;-;-;-
Venue:
IEEE Transactions on Image Processing
Year:
2007

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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 Gamma-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