About: Super-resolution via iterative phase retrieval for blurred and saturated biological images

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	One of the most fascinating problems addressed today is retrieving high-resolution data of blurred images obtained from biological objects. In most cases the research relays either on a priory knowledge of the image nature or a large number of images (either of the same object or of different objects obtained by the same imaging setup). If saturation is added to the blurring, most algorithms fail to sharpen the image and in some cases researchers decline to use such images as an input. In this work a single captured blurred and saturated image is given with no a priori knowledge except of the fact that the primary blurring is due to defocused imaging setup. The authors suggest a novel three-stage approach for retrieving higher resolution data from the intensity distribution of the blurred and saturated image. The core of the process is the phase retrieval algorithm suggested by Gerchberg and Saxton in 1972. The new method is explained in details and the algorithm is tested numerically and experimental One of the most fascinating problems addressed today is retrieving high-resolution data of blurred images obtained from biological objects. In most cases the research relays either on a priory knowledge of the image nature or a large number of images (either of the same object or of different objects obtained by the same imaging setup). If saturation is added to the blurring, most algorithms fail to sharpen the image and in some cases researchers decline to use such images as an input. In this work a single captured blurred and saturated image is given with no a priori knowledge except of the fact that the primary blurring is due to defocused imaging setup. The authors suggest a novel three-stage approach for retrieving higher resolution data from the intensity distribution of the blurred and saturated image. The core of the process is the phase retrieval algorithm suggested by Gerchberg and Saxton in 1972. The new method is explained in details and the algorithm is tested numerically and experimental (en) Testovali a potvrdili jsme možnosti využití metody ?iterative phase retrieval? v mikroskopii a zpracování obrazu v biologických vědách. (cs)
Title	Super-resolution via iterative phase retrieval for blurred and saturated biological images Super-resolution via iterative phase retrieval for blurred and saturated biological images (en) Zvýšené rozlišení obrazu pomocí metody iterative phase retrieval pro rozmazané a saturované biologické obrázky (cs)
skos:prefLabel	Super-resolution via iterative phase retrieval for blurred and saturated biological images Super-resolution via iterative phase retrieval for blurred and saturated biological images (en) Zvýšené rozlišení obrazu pomocí metody iterative phase retrieval pro rozmazané a saturované biologické obrázky (cs)
skos:notation	RIV/60076658:12640/08:00009377!RIV09-MSM-12640___
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(AV0Z50510513), Z(MSM6007665808)
http://linked.open...iv/cisloPeriodika	11
http://linked.open...vai/riv/dodaniDat	2009
http://linked.open...aciTvurceVysledku	Falat, Igor Vácha, František Sarafis, Vassilios
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Jihočeská univerzita v Českých Budějovicích / Ústav fyzikální biologie
http://linked.open...dnocenehoVysledku	398374
http://linked.open...ai/riv/idVysledku	RIV/60076658:12640/08:00009377
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	super-resolution; algorithm (en)
http://linked.open.../riv/klicoveSlovo	super-resolution algorithm
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[5799093D691F]
http://linked.open...i/riv/nazevZdroje	Optics Express
http://linked.open...in/vavai/riv/obor	BO
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...UplatneniVysledku	2008
http://linked.open...v/svazekPeriodika	16
http://linked.open...iv/tvurceVysledku	Vácha, František Sarafis, Vassilios Falat, Igor Gur, Eran Vacha, Martin Zalevsky, Zeev
http://linked.open...ain/vavai/riv/wos	000256469900036
http://linked.open...n/vavai/riv/zamer	Výzkum struktury genetické informace rostlin a jejich patogenů na molekulární úrovni, indukce a analýza cílených změn genomu a plastomu a studium fotosyntetických procesů a projevů dědičnosti v interakci s prostředím a patogeny Fyzikální biologie -nové přístupy v biologickém výzkumu
issn	1094-4087
number of pages	10 (xsd:int)
http://localhost/t...ganizacniJednotka	12640
is http://linked.open...avai/riv/vysledek of	Super-resolution via iterative phase retrieval for blurred and saturated biological images Super-resolution via iterative phase retrieval for blurred and saturated biological images Super-resolution via iterative phase retrieval for blurred and saturated biological images Super-resolution via iterative phase retrieval for blurred and saturated biological images

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