0410847 - UTIA-B 20020061 RIV DE eng C - Conference Paper (international conference)
Haindl, Michal
Recursive model-based colour image restoration.
Berlin: Springer, 2002. Lecture Notes in Computer Science., 2396. ISBN 3-540-44011-9. In: Structural, Syntactic, and Statistical Pattern Recognition. Proceedings. - (Caelli, T.; Amin, A.; Duin, R.), s. 617-626
[Joint IAPR International Workshops SSPR 2002 and SPR 2002. Windsor (CA), 06.08.2002-09.08.2002]
R&D Projects: GA ČR GA106/00/1715; GA ČR GA102/00/0030
Institutional research plan: CEZ:AV0Z1075907
Keywords : random fields * image restoration
Subject RIV: BD - Theory of Information

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.
Permanent Link: http://hdl.handle.net/11104/0130934