DocumentCode
432752
Title
Theoretical analysis of some regularized image denoising methods
Author
Combettes, Patrick L. ; Wajs, Valérie R.
Author_Institution
Lab. Jacques-Louis Lions, Univ. Pierre et Marie Curie, Paris, France
Volume
2
fYear
2004
fDate
24-27 Oct. 2004
Firstpage
969
Abstract
Regularization techniques have been in use in signal recovery for over four decades. In this paper, we propose a new synthetic approach to the study of regularization methods in image denoising problems based on Moreau´s proximity operators. We exploit the remarkable properties enjoyed by these operators to establish in a systematic fashion a variety of properties of regularized denoising problems and to propose new numerical schemes to solve them.
Keywords
convergence of numerical methods; image denoising; iterative methods; Moreaus proximity operator; image denoising method; numerical scheme; regularization technique; signal recovery; synthetic approach; Gaussian noise; Hilbert space; Image analysis; Image converters; Image denoising; Image processing; Inverse problems; Noise reduction; Qualifications; Random processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-8554-3
Type
conf
DOI
10.1109/ICIP.2004.1419462
Filename
1419462
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