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Statements

Subject Item
n2:RIV%2F61989592%3A15310%2F07%3A00003608%21RIV09-MSM-15310___
rdf:type
skos:Concept n8:Vysledek
dcterms:description
Digital images can be negatively influenced by several aspects, mostly by camera movement, unfocussed lenses, and noise from the camera sensor. The reconstruction can be done by several reconstruction methods. The methods can be non-iterative such as Wiener reconstruction. The Wiener reconstruction is effective and fast for the most of ordinary images. Unfortunately, some artifacts are visible after the reconstruction. From the iterative methods, the Lucy-Richardson (LR) or blind deconvolution are sometimes used. Iterative algorithms are slower but the results can be usually better. The problem with iterative methods is that the number of iterations needed in order to achieve the image of adequate quality is not known ahead. Our experiments show how to look for appropriate stopping criteria, and that in case of the LR deconvolution it is possible to find such criteria. The original non-degraded image was not available. The considerations were based on judging of 100 images. The experiments revealed th Digital images can be negatively influenced by several aspects, mostly by camera movement, unfocussed lenses, and noise from the camera sensor. The reconstruction can be done by several reconstruction methods. The methods can be non-iterative such as Wiener reconstruction. The Wiener reconstruction is effective and fast for the most of ordinary images. Unfortunately, some artifacts are visible after the reconstruction. From the iterative methods, the Lucy-Richardson (LR) or blind deconvolution are sometimes used. Iterative algorithms are slower but the results can be usually better. The problem with iterative methods is that the number of iterations needed in order to achieve the image of adequate quality is not known ahead. Our experiments show how to look for appropriate stopping criteria, and that in case of the LR deconvolution it is possible to find such criteria. The original non-degraded image was not available. The considerations were based on judging of 100 images. The experiments revealed th Digital images can be negatively influenced by several aspects, mostly by camera movement, unfocussed lenses, and noise from the camera sensor. The reconstruction can be done by several reconstruction methods. The methods can be non-iterative such as Wiener reconstruction. The Wiener reconstruction is effective and fast for the most of ordinary images. Unfortunately, some artifacts are visible after the reconstruction. From the iterative methods, the Lucy-Richardson (LR) or blind deconvolution are sometimes used. Iterative algorithms are slower but the results can be usually better. The problem with iterative methods is that the number of iterations needed in order to achieve the image of adequate quality is not known ahead. Our experiments show how to look for appropriate stopping criteria, and that in case of the LR deconvolution it is possible to find such criteria. The original non-degraded image was not available. The considerations were based on judging of 100 images. The experiments revealed th
dcterms:title
Iterative Image Restoration and the Stopping Criteria Iterative Image Restoration and the Stopping Criteria Iterative Image Restoration and the Stopping Criteria
skos:prefLabel
Iterative Image Restoration and the Stopping Criteria Iterative Image Restoration and the Stopping Criteria Iterative Image Restoration and the Stopping Criteria
skos:notation
RIV/61989592:15310/07:00003608!RIV09-MSM-15310___
n3:aktivita
n10:P n10:Z
n3:aktivity
P(1ET101370417), P(GA201/05/0079), P(GA201/05/2707), Z(MSM6198959214)
n3:dodaniDat
n17:2009
n3:domaciTvurceVysledku
n5:7976852 n5:4813618 n5:3883620
n3:druhVysledku
n16:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
427685
n3:idVysledku
RIV/61989592:15310/07:00003608
n3:jazykVysledku
n12:eng
n3:klicovaSlova
Image reconstruction; deblurring; deconvolution; Lucy-Richardson algorithm
n3:klicoveSlovo
n7:deconvolution n7:Image%20reconstruction n7:deblurring n7:Lucy-Richardson%20algorithm
n3:kontrolniKodProRIV
[6210977F7D3F]
n3:mistoVydani
Orlando, Florida, USA
n3:nazevZdroje
Proceedings of the 11th World Multi-Conference on Systemics, Cybernetics and Informatics
n3:obor
n18:JC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n6:1ET101370417 n6:GA201%2F05%2F2707 n6:GA201%2F05%2F0079
n3:rokUplatneniVysledku
n17:2007
n3:tvurceVysledku
Dobeš, Michal Mikeš, Josef Machala, Libor
n3:zamer
n14:MSM6198959214
s:numberOfPages
5
n19:hasPublisher
International Institute of Informatics and Systemics
n15:isbn
1-934272-16-7
n13:organizacniJednotka
15310