Počet záznamů: 1
Edge preserving model-based image restoration
- 1.0410286 - UTIA-B 20000002 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
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]
Grant CEP: GA ČR GA102/00/0030; GA ČR GA106/00/1715
Grant ostatní: Hewlett Packard(US) ISE-86L8-13
Výzkumný záměr: AV0Z1075907
Kód oboru RIV: BD - Teorie informace
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.
Trvalý link: http://hdl.handle.net/11104/0130377
Počet záznamů: 1