DocumentCode :
2003560
Title :
Space-variant and color image restoration using Kalman filtering
Author :
Tekalp, A. Murat ; Pavlovic, Gordana
Author_Institution :
Dept. of Electr. Eng., Rochester Univ., NY, USA
fYear :
1989
fDate :
6-8 Sep 1989
Firstpage :
186
Lastpage :
187
Abstract :
Summary form only given. Solutions have been obtained to two problems, namely, the restoration of images degraded by space-variant blurs, using Kalman filtering, and restoration of color images, using multichannel Kalman filtering that is based on a new model of color images that incorporates the interchannel correlations between the color components. Multichannel Kalman filtering for color image restoration can be carried out in RGB, YIQ, or any other color space. Experimental results have demonstrated the effectiveness of the algorithms
Keywords :
Kalman filters; filtering and prediction theory; picture processing; Kalman filtering; color image restoration; interchannel correlations; multichannel filtering; space-variant blurs; Color; Decorrelation; Degradation; Filtering algorithms; Image restoration; Kalman filters; Multispectral imaging; Signal restoration; Speech; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multidimensional Signal Processing Workshop, 1989., Sixth
Conference_Location :
Pacific Grove, CA
Type :
conf
DOI :
10.1109/MDSP.1989.97109
Filename :
97109
Link To Document :
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