Rekonstrukce obrazů degradovaných rozmazáním

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F07%3A00003610" target="_blank" >RIV/61989592:15310/07:00003610 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Restoration of Motion Blurred Images

Popis výsledku v původním jazyce

Degradation of digital images is often caused by camera movement when a long exposition time is set. The blurred images can be enhanced by either iterative or non-iterative methods. From the non-iterative methods, Wiener reconstruction is often used. Iterative methods are slower in nature but usually better results can be achieved. A well known method for blurred image restoration is Richardson and Lucy algorithm. The Richardson and Lucy algorithm often achieves better visual results compared to the Wiener reconstruction, however, it is iterative and slower. As with many iterative methods the problem is how to find such a number of iterations so that the resulting image is of sufficient quality. Generally, it is not possible to tell in advance how manyiterations will be needed in order to achieve sufficient image quality. The aim of this article is to present a method that finds the stopping criteria without human interaction. Our iterative algorithm stops when the restored image is o

Název v anglickém jazyce

Restoration of Motion Blurred Images

Popis výsledku anglicky

Degradation of digital images is often caused by camera movement when a long exposition time is set. The blurred images can be enhanced by either iterative or non-iterative methods. From the non-iterative methods, Wiener reconstruction is often used. Iterative methods are slower in nature but usually better results can be achieved. A well known method for blurred image restoration is Richardson and Lucy algorithm. The Richardson and Lucy algorithm often achieves better visual results compared to the Wiener reconstruction, however, it is iterative and slower. As with many iterative methods the problem is how to find such a number of iterations so that the resulting image is of sufficient quality. Generally, it is not possible to tell in advance how manyiterations will be needed in order to achieve sufficient image quality. The aim of this article is to present a method that finds the stopping criteria without human interaction. Our iterative algorithm stops when the restored image is o

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2007

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of Spring Conference on Computer Graphics in cooperation with Eurographics

ISBN

978-80-223-2292-8

ISSN

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e-ISSN

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Počet stran výsledku

249

Strana od-do

97-103

Název nakladatele

Univerzita Komenského

Místo vydání

Bratislava

Místo konání akce

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Datum konání akce

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Typ akce podle státní příslušnosti

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Kód UT WoS článku

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