NDLI: Image restoration by inhomogeneous G-M field modeling and adaptive Kalman filtering

Content Provider	IEEE Xplore Digital Library
Author	Chen, B.H. Thomopoulos, S.C.A.
Copyright Year	1993
Description	Author affiliation: Decision & Control Syst. Lab., Pennsylvania State Univ., University Park, PA, USA (Chen, B.H.; Thomopoulos, S.C.A.)
Abstract	An inhomogeneous Gauss-Markov (G-M) model of the image field is used to enhance the visual quality of the restored image by Kalman filtering in the spatial domain. In the corresponding Kalman filter, the transition matrix in the predicting part is no longer a constant matrix as it was in previous homogeneous G-M modeling. Instead, it becomes a function of the spatial coordinates as well as the edge running parameter /spl theta/. The optimal estimate is a weighted sum of several Kalman filter estimates with each Kalman filter operating in parallel with a separate known value of /spl theta/. The experimental results are compared with those obtained in the homogeneous G-M modeling.<>
Starting Page	423
Ending Page	426
File Size	457867
Page Count	4
File Format	PDF
ISBN	0780312813
DOI	10.1109/ISCAS.1993.393748
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration Kalman filters Adaptive filters Filtering Gaussian processes Degradation Equations Control system synthesis Laboratories Predictive models
Content Type	Text
Resource Type	Article

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Image restoration by inhomogeneous G-M field modeling and adaptive Kalman filtering