Referenced Items are not available for this document.
A standard wavelet multiresolution analysis can be defined via a sequence of projectors onto a monotone sequence of closed vector subspaces possessing certain properties. We propose a nonlinear extension of this framework in which the vector subspaces are replaced by convex subsets. These sets are chosen so as to provide a recursive, monotone approximation scheme that allows for various signal and image features to be investigated. Several classes of convex multiresolution analyses are discussed and numerical applications to signal and image-processing problems are demonstrated
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:20
,
Issue:
12
)
Date of Publication: Dec 1998
- Page(s):
- 1308 - 1318
- ISSN :
- 0162-8828
- INSPEC Accession Number:
- 6131780
- Digital Object Identifier :
- 10.1109/34.735804
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Dec 1998
- Sponsored by :
- IEEE Computer Society
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