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Edge preserving model-based image restoration

SYSNO ASEP	0410286
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Edge preserving model-based image restoration
Author(s)	Haindl, Michal (UTIA-B)_{RID, ORCID}
Issue data	Praha: Czech Pattern Recognition Society, 2000
ISBN	80-238-5215-9
Source Title	Proceedings of the Czech Pattern Recognition Workshop 2000 / Svoboda T.
Pages	s. 49-54
Number of pages	6 s.
Action	Czech Pattern Recognition Workshop 2000
Event date	02.02.2000-04.02.2000
VEvent location	Peršlák
Country	CZ - Czech Republic
Language	eng - English
Country	CZ - Czech Republic
Subject RIV	BD - Theory of Information
R&D Projects	GA102/00/0030 GA ČR - Czech Science Foundation (CSF)
	GA106/00/1715 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 point-spread function. Pixels in the vicinity of steep discontinuities are left unrestored tominimize restoration blurring effect.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