DocumentCode
3028377
Title
Non-stationary linear restoration of noisy images
Author
Abramatic, J.F. ; Silverman, L.M.
Author_Institution
University of Southern California, Los Angeles, California
Volume
2
fYear
1979
fDate
12-14 Dec. 1979
Firstpage
92
Lastpage
99
Abstract
The restoration of images degraded by an additive white noise is performed by non-stationary filtering the noisy image. The standard Wiener approach to this problem is modified to take into account the edge information of the image. Various filters of increasing complexity are derived. Experimental results are shown and compared to the standard Wiener filter results and other earlier attempts involving non-stationary filters.
Keywords
Ambient intelligence; Degradation; Filtering; Image restoration; Kalman filters; Nonlinear filters; Signal restoration; Sun; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the Symposium on Adaptive Processes, 1979 18th IEEE Conference on
Conference_Location
Fort Lauderdale, FL, USA
Type
conf
DOI
10.1109/CDC.1979.270143
Filename
4046371
Link To Document