DocumentCode
1672490
Title
A method for estimation and filtering of Gaussian noise in images
Author
Russo, Fabrizio
Author_Institution
Dipt. di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1689
Abstract
A new approach to the restoration of images corrupted by Gaussian noise is presented. The proposed method combines a nonlinear algorithm for detail preserving smoothing of noisy data and a technique for automatic parameter tuning based on noise estimation. As a key feature, the method does not require any "a priori" knowledge about the amount of noise corruption. Experimental results show that the filtering performance of the proposed approach is very satisfactory.
Keywords
Gaussian noise; image enhancement; image restoration; nonlinear filters; parameter estimation; smoothing methods; Gaussian noise; automatic parameter tuning; detail preserving smoothing; filtering performance; image enhancement; noise corruption; noise estimation; noisy data; nonlinear algorithm; nonlinear filters; restoration; Feature extraction; Filtering; Gaussian noise; Image enhancement; Image processing; Image restoration; Noise cancellation; Noise measurement; Nonlinear filters; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
ISSN
1091-5281
Print_ISBN
0-7803-7218-2
Type
conf
DOI
10.1109/IMTC.2002.1007214
Filename
1007214
Link To Document