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231223s1995 xx ||||| 00| ||eng c |
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|a (DE-627)NLM177763728
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|a (NLM)18290008
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
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|a Wang, G
|e verfasserin
|4 aut
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|a Solution of inverse problems in image processing by wavelet expansion
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|c 1995
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|b nc
|2 rdacarrier
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|a Date Completed 02.10.2012
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|a Date Revised 21.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a We describe a wavelet-based approach to linear inverse problems in image processing. In this approach, both the images and the linear operator to be inverted are represented by wavelet expansions, leading to a multiresolution sparse matrix representation of the inverse problem. The constraints for a regularized solution are enforced through wavelet expansion coefficients. A unique feature of the wavelet approach is a general and consistent scheme for representing an operator in different resolutions, an important problem in multigrid/multiresolution processing. This and the sparseness of the representation induce a multigrid algorithm. The proposed approach was tested on image restoration problems and produced good results
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|a Journal Article
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|a Zhang, J
|e verfasserin
|4 aut
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|a Pan, G W
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 4(1995), 5 vom: 15., Seite 579-93
|w (DE-627)NLM09821456X
|x 1941-0042
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|g year:1995
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|g day:15
|g pages:579-93
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