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Recursive model-based colour image restoration

SYSNO ASEP	0410847
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Recursive model-based colour image restoration
Author(s)	Haindl, Michal (UTIA-B)_{RID, ORCID}
Issue data	Berlin: Springer, 2002
ISBN	3-540-44011-9
Source Title	Structural, Syntactic, and Statistical Pattern Recognition. Proceedings / Caelli T. ; Amin A. ; Duin R. P. W.
Pages	s. 617-626
Series	Lecture Notes in Computer Science.
Series number	2396
Number of pages	10 s.
Action	Joint IAPR International Workshops SSPR 2002 and SPR 2002
Event date	06.08.2002-09.08.2002
VEvent location	Windsor
Country	CA - Canada
Event type	WRD
Language	eng - English
Country	DE - Germany
Keywords	random fields ; image restoration
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	AV0Z1075907 - UTIA-B
Annotation	This paper presents a derivation of a fast recursive filter for colour 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 to minimize restoration blurring effect. The degraded image is assumed to follow a causal simultaneous multidimensional 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