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