Comparative study of some recent statistical and set-theoretic methods for image restoration

Author

Tekalp, A. Murat ; Trussell, H. Joel

Author_Institution

Dept. of Electr. Eng., Rochester Univ., NY, USA

fYear

1988

fDate

11-14 Apr 1988

Firstpage

9881

Abstract

The performance is compared of a linear space-invariant (LSI) maximum a posteriori filter, an LSI reduced update Kalman filter (RUKF), an edge-adaptive RUKF, and an adaptive convex-type constraint-based restoration implemented via the method of projection onto convex sets. The finite impulse response Wiener filter is taken as a benchmark in this comparison. In image restoration, the LSI techniques are found to have some important drawbacks, such as producing ringing artifacts. As expected, the space-variant restoration methods which are adaptive to local image properties provide the best results

Keywords

Kalman filters; filtering and prediction theory; picture processing; set theory; adaptive convex-type constraint-based restoration; benchmark; convex sets; finite impulse response Wiener filter; image restoration; linear space-invariant maximum a posteriori filter; projection; reduced update Kalman filter; ringing artifacts; set-theoretic methods; space-variant restoration methods; Adaptive filters; Deconvolution; Degradation; Filtering; Finite impulse response filter; Image restoration; Large scale integration; Layout; Nonlinear filters; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196758

Filename

196758