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; $C_{p}$
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 :
