Edge-adaptive Kalman filtering for image restoration with ringing suppression

Author

Tekalp, A. Murat ; Kaufman, Howard ; Woods, John W.

Author_Institution

Eastman Kodak Co., Rochester, NY, USA

Volume

37

Issue

6

fYear

1989

fDate

6/1/1989 12:00:00 AM

Firstpage

892

Lastpage

899

Abstract

The authors extend the two-dimensional (2-D) linear space-invariant (LSI) reduced update Kalman filter (RUKF) to edge-adaptive space-invariant restoration of noisy and blurred images using a decision-directed approach. The edge-adaptive RUKF was motivated by the need to suppress the ringing artifacts caused by LSI processing. The authors show that ringing artifacts can be suppressed to a great extent by using multiple image models that provide a better match to local edge orientation. The maximum a posteriori probability decision procedure developed for model selection at each pixel can be used with other 2-D Kalman filtering algorithms as well

Keywords

Kalman filters; adaptive filters; filtering and prediction theory; picture processing; two-dimensional digital filters; 2D Kalman filter; Kalman filtering algorithms; blurred images; decision-directed approach; edge-adaptive space-invariant restoration; image restoration; linear space-invariant; local edge orientation; model selection; multiple image models; noisy images; picture processing; probability decision procedure; reduced update; ringing suppression; Degradation; Filtering algorithms; Image restoration; Kalman filters; Laboratories; Large scale integration; Mathematical model; Noise reduction; Pixel; Two dimensional displays;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/ASSP.1989.28060

Filename

28060