2020-03-262020-03-262013Proceedings of SPIE - The International Society for Optical Engineering; Vol. 878597808194960100277786Xhttps://hdl.handle.net/20.500.12585/9069Retinal images are often degraded with a blur that varies across the gield view. Because traditional deblurring algorithms assume the blur to be space-invariant they typically fail in the presence of space-variant blur. In this work we consider the blur to be both unknown and space-variant. To carry out the restoration, we assume that in small regions the space-variant blur can be approximated by a space-invariant point-spread function (PSF). However, instead of deblurring the image on a per-patch basis, we extend individual PSFs by linear interpolation and perform a global restoration. Because the blind estimation of local PSFs may fail we propose a strategy for the identification of valid local PSFs and perform interpolation to obtain the space-variant PSF. The method was tested on artificial and real degraded retinal images. Results show significant improvement in the visibility of subtle details like small blood vessels. © 2013 SPIE.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObject10.1117/12.2025134DeblurringDeconvolutionMedical imageRetinal imageSpace-variant restorationBlind estimationsBlind restorationDeblurringDeblurring algorithmsLinear InterpolationPoint-spread functionsRetinal imageSpace variantsBlood vesselsDeconvolutionMedical imagingOphthalmologyOpticsRestorationImage enhancementinfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB2432983930072014663991584670010055882243100