Separabilní převzorkování
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F07%3APR23021" target="_blank" >RIV/00216305:26230/07:PR23021 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Separable Resampling
Popis výsledku v původním jazyce
This program was developed to simulate resampling algorithm which will be probably implemented in hardware in near future. However it is fully capable to resample an image. It uses Digilib library to operate easily with standard image formats, such as jpg or tif. Interpolation algorithm, which is kernel of this program, was primarily developed to resample biomedical images which are often affected by smooth barrel distortion caused by sensing lenses. Because of this, this program is not designated to correct strong geometric distortions. The input image is virtually split up into matrix of squares. Each square has its own coefficient set and is resampled independently in vertical and horizontal direction. Vertical and horizontal resampling is separablein this case which allows the algorithm to be very simple and therefore fast.
Název v anglickém jazyce
Separable Resampling
Popis výsledku anglicky
This program was developed to simulate resampling algorithm which will be probably implemented in hardware in near future. However it is fully capable to resample an image. It uses Digilib library to operate easily with standard image formats, such as jpg or tif. Interpolation algorithm, which is kernel of this program, was primarily developed to resample biomedical images which are often affected by smooth barrel distortion caused by sensing lenses. Because of this, this program is not designated to correct strong geometric distortions. The input image is virtually split up into matrix of squares. Each square has its own coefficient set and is resampled independently in vertical and horizontal direction. Vertical and horizontal resampling is separablein this case which allows the algorithm to be very simple and therefore fast.
Klasifikace
Druh
X - Nezařazeno
CEP obor
JC - Počítačový hardware a software
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/2B06052" target="_blank" >2B06052: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2007
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů