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Edge preserving model-based image restoration
- 1.0410286 - UTIA-B 20000002 RIV CZ eng C - Conference Paper (international conference)
Haindl, Michal
Edge preserving model-based image restoration.
Praha: Czech Pattern Recognition Society, 2000. ISBN 80-238-5215-9. In: Proceedings of the Czech Pattern Recognition Workshop 2000. - (Svoboda, T.), s. 49-54
[Czech Pattern Recognition Workshop 2000. Peršlák (CZ), 02.02.2000-04.02.2000]
R&D Projects: GA ČR GA102/00/0030; GA ČR GA106/00/1715
Grant - others:Hewlett Packard(US) ISE-86L8-13
Institutional research plan: AV0Z1075907
Subject RIV: BD - Theory of Information
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.
Permanent Link: http://hdl.handle.net/11104/0130377
Number of the records: 1