DocumentCode
2002669
Title
Digital least squares restoration of multi-channel images
Author
Galatsanos, Nikolas P. ; Chin, Roland T.
Author_Institution
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fYear
1989
fDate
6-8 Sep 1989
Firstpage
179
Lastpage
181
Abstract
Summary form only given. A least-squares filter for the restoration of multichannel images is presented. The process involves the removal of noise and degradation from observed multichannel imagery, such as color or multispectral images. The restoration filters utilize information distributed across image channels and process all channels as a single entity. They use a priori information and constraints, thus avoiding some of the drawbacks of the minimum-mean-squared-error filter
Keywords
digital filters; filtering and prediction theory; least squares approximations; picture processing; colour images; digital least squares-restoration; least-squares filter; multi-channel images; multichannel image restoration; multispectral images; noise removal; restoration filters; Color; Colored noise; Degradation; Equations; Image restoration; Information filtering; Information filters; Least squares methods; Multispectral imaging; Signal restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Multidimensional Signal Processing Workshop, 1989., Sixth
Conference_Location
Pacific Grove, CA
Type
conf
DOI
10.1109/MDSP.1989.97105
Filename
97105
Link To Document