DocumentCode :
1137885
Title :
Minimizing the total variation under a general convex constraint for image restoration
Author :
Malgouyres, François
Author_Institution :
LAGA, Univ. Paris, Villetaneuse, France
Volume :
11
Issue :
12
fYear :
2002
fDate :
12/1/2002 12:00:00 AM
Firstpage :
1450
Lastpage :
1456
Abstract :
We present a general framework for image restoration; despite its simplicity, certain variational and certain wavelet approaches can be formulated within this framework. This permits the construction of a natural model, with only one parameter, which has the advantages of both approaches. We give a mathematical analysis of this model, describe our algorithm and illustrate this by some experiments.
Keywords :
Gaussian noise; image denoising; image restoration; variational techniques; wavelet transforms; Gaussian noise; deconvolution; general convex constraint; image denoising; image restoration; mathematical analysis; total variation minimization; variational approach; wavelet approach; Deconvolution; Dictionaries; Focusing; Gaussian noise; Image restoration; Mathematical analysis; Mathematical model; Maximum a posteriori estimation; Signal restoration; Wavelet packets;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2002.806241
Filename :
1176933
Link To Document :
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