Improving the blind restoration of retinal images by means of point-spread-function estimation assessment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00442676" target="_blank" >RIV/67985556:_____/15:00442676 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1117/12.2073820" target="_blank" >http://dx.doi.org/10.1117/12.2073820</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2073820" target="_blank" >10.1117/12.2073820</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Improving the blind restoration of retinal images by means of point-spread-function estimation assessment

Popis výsledku v původním jazyce

Retinal images often suffer from blurring which hinders disease diagnosis and progression assessment. The restoration of the images is carried out by means of blind deconvolution, but the success of the restoration depends on the correct estimation of the point-spread-function (PSF) that blurred the image. The restoration can be space-invariant or space-variant. Because a retinal image has regions without texture or sharp edges, the blind PSF estimation may fail. In this paper we propose a strategy forthe correct assessment of PSF estimation in retinal images for restoration by means of space-invariant or space-variant blind deconvolution. Our method is based on a decomposition in Zernike coe cients of the estimated PSFs to identify valid PSFs. This signicantly improves the quality of the image restoration revealed by the increased visibility of small details like small blood vessels and by the lack of restoration artifacts.

Název v anglickém jazyce

Improving the blind restoration of retinal images by means of point-spread-function estimation assessment

Popis výsledku anglicky

Retinal images often suffer from blurring which hinders disease diagnosis and progression assessment. The restoration of the images is carried out by means of blind deconvolution, but the success of the restoration depends on the correct estimation of the point-spread-function (PSF) that blurred the image. The restoration can be space-invariant or space-variant. Because a retinal image has regions without texture or sharp edges, the blind PSF estimation may fail. In this paper we propose a strategy forthe correct assessment of PSF estimation in retinal images for restoration by means of space-invariant or space-variant blind deconvolution. Our method is based on a decomposition in Zernike coe cients of the estimated PSFs to identify valid PSFs. This signicantly improves the quality of the image restoration revealed by the increased visibility of small details like small blood vessels and by the lack of restoration artifacts.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

<a href="/cs/project/GA13-29225S" target="_blank" >GA13-29225S: Slepá dekonvoluce obrazu v limitních podmínkách</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of 10th International Seminar on Medical Information Processing and Analysis (SIPAIM) 2014

ISBN

978-1-62841-362-5

ISSN

0277-786X

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

SPIE

Místo vydání

Washington

Místo konání akce

Cartagena de Indias

Datum konání akce

10. 10. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000349328300046