Romero E.Lepore N.2020-03-262020-03-262015Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9287978162841362516057422https://hdl.handle.net/20.500.12585/9029Retinal 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 for the correct assessment of PSF estimation in retinal images for restoration by means of space-invariant or space-invariant blind deconvolution. Our method is based on a decomposition in Zernike coefficients of the estimated PSFs to identify valid PSFs. This significantly 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. © 2015 SPIE.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/Improving the blind restoration of retinal images by means of point-spread-function estimation assessmentinfo:eu-repo/semantics/conferenceObject10.1117/12.2073820DeblurringDeconvolutionMedical imagePoint-spread functionRetinal imageBioinformaticsBlind equalizationBlood vesselsConvolutionDeconvolutionDiagnosisImage reconstructionMedical imagingOphthalmologyOptical transfer functionRestorationBlind deconvolutionBlind restorationDeblurringDisease diagnosisPSF estimationRetinal imageSpace variantsZernike coefficientImage enhancementinfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB243298393007201466399158467001005586089170055882243100