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Restoration of retinal images with space-variant blur
Marrugo Hernandez, Andrés Guillermo; Millán Garcia-Varela, M. Sagrario; Šorel, Michal; Šroubek, Filip
Universitat Politècnica de Catalunya. Departament d'Òptica i Optometria; Universitat Politècnica de Catalunya. GOAPI - Grup d´Òptica Aplicada i Processament d´Imatge
Retinal images are essential clinical resources for the diagnosis of retinopathy and many other ocular diseases. Because of improper acquisition conditions or inherent optical aberrations in the eye, the images are often degraded with blur. In many common cases, the blur varies across the field of view. Most image deblurring algorithms assume a space-invariant blur, which fails in the presence of space-variant (SV) blur. In this work, we propose an innovative strategy for the restoration of retinal images in which we consider the blur to be both unknown and SV. We model the blur by a linear operation interpreted as a convolution with a point-spread function (PSF) that changes with the position in the image. To achieve an artifact-free restoration, we propose a framework for a robust estimation of the SV PSF based on an eye-domain knowledge strategy. The restoration method was tested on artificially and naturally degraded retinal images. The results show an important enhancement, significant enough to leverage the images' clinical use. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Oftalmologia
Àrees temàtiques de la UPC::Ciències de la visió::Optometria
Retina--Imaging
Image reconstruction
Blind
Eye--Abnormalities
Retina--Diseases
blind deconvolution
space-variant restoration
image restoration
deblurring
retinal image
FUNDUS
ABERRATIONS
CAMERA
OPTICS
EYE
Imatges òptiques
Cecs
Ulls -- Malalties i defectes
Retina -- Malalties
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
Artículo
         

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