Referenced Items are not available for this document.
We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calculated over blocks of coefficients in a frame providing a sparse signal representation. They minimize an l1 norm taking into account the signal regularity in each block. Adaptive directional image interpolations are computed over a wavelet frame with an O(N log N) algorithm, providing state-of-the-art numerical results.
Published in:
Image Processing, IEEE Transactions on
(Volume:19
,
Issue:
11
)
Date of Publication: Nov. 2010
- Page(s):
- 2889 - 2900
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 11588432
- Digital Object Identifier :
- 10.1109/TIP.2010.2049927
- Product Type:
- Journals & Magazines
- Date of Publication :
- 06 May 2010
- Date of Current Version :
- 14 October 2010
- Issue Date :
- Nov. 2010
- Sponsored by :
- IEEE Signal Processing Society
- PubMed ID :
- 20457549
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