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