NDLI: Adaptive nonlinear image restoration by a modified Kalman filtering approach

Content Provider	IEEE Xplore Digital Library
Author	Rajala, S. Figueiredo, R.
Copyright Year	1974
Abstract	An adaptive nonlinear Kalman-type filter is presented for the restoration of two-dimensional images degraded by general image formation system degradations and additive white noise. A vector difference equation model is used to model the degradation process. The object plane distribution function is partitioned into disjoint regions based on the amount of spatial activity in the image, and difference equation models are used to characterize this nonstationary object plane distribution function. Features of the restoration filter include the ability to account for the response of the human visual system to additive noise in an image; a two-dimensional interpolation scheme to improve the estimates of the initial states in each region; and a nearest neighbor algorithm to choose the previous state of vector for the state of pixel (i,j).
Starting Page	1033
Ending Page	1042
Page Count	10
File Size	1986982
File Format	PDF
ISSN	00963518
Volume Number	29
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1981-10-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration Kalman filters Adaptive filters Filtering Degradation Difference equations Distribution functions Additive white noise Humans Visual system
Content Type	Text
Resource Type	Article
Subject	Signal Processing

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