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Proceedings Paper

Improving the blind restoration of retinal images by means of point-spread-function estimation assessment
Author(s): Andrés G. Marrugo; María S. Millán; Michal Šorel; Jan Kotera; Filip Šroubek
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Paper 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.

Paper Details

Date Published: 28 January 2015
PDF: 6 pages
Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92871D (28 January 2015); doi: 10.1117/12.2073820
Show Author Affiliations
Andrés G. Marrugo, Univ. Tecnológica de Bolívar (Colombia)
María S. Millán, Univ. Politècnica de Catalunya (Spain)
Michal Šorel, Institute of Information Theory and Automation (Czech Republic)
Jan Kotera, Institute of Information Theory and Automation (Czech Republic)
Filip Šroubek, Institute of Information Theory and Automation (Czech Republic)


Published in SPIE Proceedings Vol. 9287:
10th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore, Editor(s)

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