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

Andrés G. Marrugo; María S. Millán; Michal Šorel; Jan Kotera; Filip Šroubek

doi:10.1117/12.2073820

28 January 2015 Improving the blind restoration of retinal images by means of point-spread-function estimation assessment

Andrés G. Marrugo, María S. Millán, Michal Šorel, Jan Kotera, Filip Šroubek

Author Affiliations +

Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 92871D (2015) https://doi.org/10.1117/12.2073820
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia

Abstract

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 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.

Citation Download Citation

Andrés G. Marrugo, María S. Millán, Michal Šorel, Jan Kotera, and Filip Šroubek "Improving the blind restoration of retinal images by means of point-spread-function estimation assessment", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92871D (28 January 2015); https://doi.org/10.1117/12.2073820

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