DocumentCode
1024875
Title
A Note on Image Restoration Using
and MSE
Author
Seghouane, Abd-Krim
Author_Institution
Australian Nat. Univ., Canberra
Volume
15
fYear
2008
fDate
6/30/1905 12:00:00 AM
Firstpage
61
Lastpage
64
Abstract
Image restoration necessitates the choice of a regularization parameter that controls the trade-off between fidelity to the blurred noisy observed image and the smoothness of the restored image. The choice of this parameter for which several estimators have been proposed is crucial for the quality of the restored image. In this letter, two estimators for choosing the regularization parameter are proposed. One is a simple closed-form approximation to the minimum of the selection criterion, and the other is an approximation to the minimum of a mean squared error (MSE)-based criterion.
Keywords
image restoration; mean square error methods; blurred noisy image; closed-form approximation; image quality; image restoration; image smoothness; mean squared error estimation; regularization parameter estimation; Art; Australia Council; Degradation; Filters; Image restoration; Information technology; Least squares approximation; Mean square error methods; Radar imaging; Ultrasonic imaging; $C_{p}$ ; image restoration; mean square error; regularization;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2007.910237
Filename
4418408
Link To Document