Title :
Non-stationary linear restoration of noisy images
Author :
Abramatic, J.F. ; Silverman, L.M.
Author_Institution :
University of Southern California, Los Angeles, California
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;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1979 18th IEEE Conference on
Conference_Location :
Fort Lauderdale, FL, USA
DOI :
10.1109/CDC.1979.270143
