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Proceedings Paper

Future for airborne reconnaissance
Author(s): Kenneth R. Israel
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Paper Abstract

On the base of local criteria of processing quality, a class of local adaptive linear filters for image restoration and enhancement is introduced. The filters work in a running window in the domain of DFT of DCT and have O(Size of the window) computational complexity thanks to recursive algorithms of mnning DFT and DCT. The filter design and the recursive computation of mnmng DCT are outlined and filtering for edge preserved noise suppression, blind image restoration and enhancement is demonstrated. Key words: Image restoration; Image enhancement, Adaptive filters

Paper Details

Date Published: 21 November 1996
PDF: 55 pages
Proc. SPIE 2829, Airborne Reconnaissance XX, (21 November 1996); doi: 10.1117/12.259729
Show Author Affiliations
Kenneth R. Israel, Defense Airborne Reconnaissance Office (United States)

Published in SPIE Proceedings Vol. 2829:
Airborne Reconnaissance XX
Richard J. Wollensak; Wallace G. Fishell; William H. Barnes; Arthur A. Andraitis; Alfred C. Crane Jr.; Michael S. Fagan, Editor(s)

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