DocumentCode
1175690
Title
Decision-directed recursive image enhancement
Author
Nahi, N.E. ; Habibi, A.
Volume
22
Issue
3
fYear
1975
fDate
3/1/1975 12:00:00 AM
Firstpage
286
Lastpage
293
Abstract
A nonlinear method of estimating pictorial data from noisy observations is considered. The data is assumed to be composed of an object with one texture in the background. An edge detection technique using likelihood functions is used to decide if an incoming picture element is a member of the object or the background. Then, the picture element is directed to one of the two Kalman filters designed based upon the statistics of the object or the background accordingly.
Keywords
Decision procedures; Filtering and enhancement; Image enhancement; Nonlinear estimation; Recursive estimation; Application software; Degradation; Filtering; Image enhancement; Image restoration; Integral equations; Linear systems; Optimized production technology; Recursive estimation; State-space methods;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/TCS.1975.1084029
Filename
1084029
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