Referenced Items are not available for this document.
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
Published in:
Image Processing, IEEE Transactions on
(Volume:16
,
Issue:
4
)
Date of Publication: April 2007
- Page(s):
- 1101 - 1111
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 9374495
- Digital Object Identifier :
- 10.1109/TIP.2007.891805
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 19 March 2007
- Issue Date :
- April 2007
- Sponsored by :
- IEEE Signal Processing Society
- PubMed ID :
- 17405440
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