Title :
Recursive model-based image restoration
Author_Institution :
Inst. of Inf. Theory & Autom., Czechoslovak Acad. of Sci., Prague, Czech Republic
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;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903555
