DocumentCode
1742239
Title
Recursive model-based image restoration
Author
Haindl, Michal
Author_Institution
Inst. of Inf. Theory & Autom., Czechoslovak Acad. of Sci., Prague, Czech Republic
Volume
3
fYear
2000
fDate
2000
Firstpage
342
Abstract
This paper presents a derivation of a fast recursive filter for image restoration if degradation obeys a linear degradation model with the unknown possibly non-homogeneous non-causal point-spread function. The degraded image is assumed to follow a causal simultaneous regressive model and the point-spread function is estimated using the local least-square estimate
Keywords
estimation theory; image restoration; least squares approximations; recursive filters; image restoration; least-square estimation; linear degradation model; point-spread function; recursive filter; Degradation; Image restoration; Image storage; Information theory; Iterative methods; Layout; Low pass filters; Markov random fields; Nonlinear filters; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903555
Filename
903555
Link To Document