DocumentCode
3000917
Title
Iterative color image restoration algorithms
Author
Katsaggelos, Aggelos IC ; Paik, Joon K.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
fYear
1988
fDate
11-14 Apr 1988
Firstpage
1028
Abstract
Iterative techniques for restoring colour images are presented. These iterative algorithms have been developed for the restoration of monochromatic images. The colour images are modeled as three spatially related monochromatic images or channels. The interchannel correlation is incorporated into the iterative restoration algorithms in an indirect and in a direct way. Experimental results with simulated and real photographically blurred images are presented. Based on experiments the authors conclude that the incorporation of the interchannel correlation into the algorithms does not necessarily improve the quality of the restored images over the algorithms that ignore the interchannel correlation, but they result in considerable computation savings
Keywords
correlation methods; iterative methods; picture processing; interchannel correlation; iterative colour image restoration algorithms; monochromatic images; photographically blurred images; Color; Colored noise; Computational modeling; Degradation; Digital recording; Error correction; Image restoration; Iterative algorithms; Magnetic separation; Optical noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location
New York, NY
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1988.196768
Filename
196768
Link To Document