Platform motion blur image restoration system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00384298" target="_blank" >RIV/67985556:_____/12:00384298 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1364/AO.51.008246" target="_blank" >http://dx.doi.org/10.1364/AO.51.008246</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1364/AO.51.008246" target="_blank" >10.1364/AO.51.008246</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Platform motion blur image restoration system

Popis výsledku v původním jazyce

Platform motion blur is a common problem for airborne and space-based imagers. Photographs taken by hand or from moving vehicles in low-light conditions are also typically blurred. Correcting image motion blur poses a formidable problem since it requiresa description of the blur in the form of the point spread function (PSF), which in general is dependent on spatial location within the image. Here we introduce a computational imaging system that incorporates optical position sensing detectors (PSDs), aconventional camera, and a method to reconstruct images degraded by spatially variant platform motion blur. A PSD tracks the movement of light distributions on its surface. It leverages more energy collection than a single pixel since it has a larger area making it proportionally faster. This affords it high temporal resolution as it measures the PSF at a specific location in the image field. Using multiple PSDs, a spatially variant PSF is generated and used to reconstruct images.

Název v anglickém jazyce

Platform motion blur image restoration system

Popis výsledku anglicky

Platform motion blur is a common problem for airborne and space-based imagers. Photographs taken by hand or from moving vehicles in low-light conditions are also typically blurred. Correcting image motion blur poses a formidable problem since it requiresa description of the blur in the form of the point spread function (PSF), which in general is dependent on spatial location within the image. Here we introduce a computational imaging system that incorporates optical position sensing detectors (PSDs), aconventional camera, and a method to reconstruct images degraded by spatially variant platform motion blur. A PSD tracks the movement of light distributions on its surface. It leverages more energy collection than a single pixel since it has a larger area making it proportionally faster. This affords it high temporal resolution as it measures the PSF at a specific location in the image field. Using multiple PSDs, a spatially variant PSF is generated and used to reconstruct images.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/VG20102013064" target="_blank" >VG20102013064: Prostředky pro identifikaci obrazového záznamového zařízení, autentifikaci a rekonstrukci obrazu</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Applied Optics

ISSN

1559-128X

e-ISSN

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Svazek periodika

51

Číslo periodika v rámci svazku

34

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

8246-8256

Kód UT WoS článku

000311889400024

EID výsledku v databázi Scopus

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