Referenced Items are not available for this document.
In this correspondence, a constrained least-squares multichannel image restoration approach is proposed, in which no prior knowledge of the noise variance at each channel or the degree of smoothness of the original image is required. The regularization functional for each channel is determined by incorporating both within-channel and cross-channel information. It is shown that the proposed smoothing functional has a global minimizer
Published in:
Image Processing, IEEE Transactions on
(Volume:6
,
Issue:
5
)
Date of Publication: May 1997
- Page(s):
- 774 - 778
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 5576108
- Digital Object Identifier :
- 10.1109/83.568936
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1997
- Sponsored by :
- IEEE Signal Processing Society
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