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Least squares restoration of multichannel imagesMultichannel restoration using both within- and between-channel deterministic information is considered. A multichannel image is a set of image planes that exhibit cross-plane similarity. Existing optimal restoration filters for single-plane images yield suboptimal results when applied to multichannel images, since between-channel information is not utilized. Multichannel least squares restoration filters are developed using the set theoretic and the constrained optimization approaches. A geometric interpretation of the estimates of both filters is given. Color images (three-channel imagery with red, green, and blue components) are considered. Constraints that capture the within- and between-channel properties of color images are developed. Issues associated with the computation of the two estimates are addressed. A spatially adaptive, multichannel least squares filter that utilizes local within- and between-channel image properties is proposed. Experiments using color images are described.
Document ID
19920029698
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Galatsanos, Nikolas P.
(Illinois Institute of Technology Chicago, United States)
Katsaggelos, Aggelos K.
(Northwestern University Evanston, IL, United States)
Chin, Roland T.
(Illinois Inst. of Tech. Chicago, IL, United States)
Hillery, Allen D.
(Wisconsin, University Madison, United States)
Date Acquired
August 15, 2013
Publication Date
October 1, 1991
Publication Information
Publication: IEEE Transactions on Signal Processing
Volume: 39
ISSN: 1053-587X
Subject Category
Communications And Radar
Accession Number
92A12322
Funding Number(s)
CONTRACT_GRANT: NAG5-580
CONTRACT_GRANT: NSF MIP-86-14217
CONTRACT_GRANT: NSF ECS-83-52356
Distribution Limits
Public
Copyright
Other

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