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Recursive model-based image restoration

SYSNO ASEP	0410386
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Recursive model-based image restoration
Author(s)	Haindl, Michal (UTIA-B)_{RID, ORCID}
Issue data	Los Alamitos: IEEE Computer Society, 2000
ISBN	0-7695-0750-6
Source Title	Proceedings of the 15th IAPR International Conference on Pattern Recognition / Sanfeliu A. ; Villanueva J. J. ; Vanrell M. ; T. Huang
Pages	s. 346-349
Number of pages	4 s.
Action	IAPR International Conference on Pattern Recognition /15./
Event date	03.09.2000-07.09.2000
VEvent location	Barcelona
Country	ES - Spain
Language	eng - English
Country	US - United States
Subject RIV	BD - Theory of Information
R&D Projects	GA106/00/1715 GA ČR - Czech Science Foundation (CSF)
	GA102/00/0030 GA ČR - Czech Science Foundation (CSF)
CEZ	1075907
Annotation	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.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.

Number of the records: 1