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Restoration of retinal images with space-variant blur

SYSNO ASEP	0424586
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Restoration of retinal images with space-variant blur
Author(s)	Marrugo, A. (ES) Millán, M. S. (ES) Šorel, Michal (UTIA-B)_{RID, ORCID} Šroubek, Filip (UTIA-B)_{RID, ORCID}
Source Title	Journal of Biomedical Optics - ISSN 1083-3668 Roč. 19, č. 1 (2014), 016023-1-016023-12
Number of pages	12 s.
Publication form	Print - P
Language	eng - English
Country	US - United States
Keywords	blind deconvolution ; space-variant restoration ; retinal image
Subject RIV	JD - Computer Applications, Robotics
R&D Projects	GA13-29225S GA ČR - Czech Science Foundation (CSF)
Institutional support	UTIA-B - RVO:67985556
UT WOS	000331892700055
EID SCOPUS	84897748145
DOI	10.1117/1.JBO.19.1.016023
Annotation	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 enhance- ment, significant enough to leverage the images’ clinical use
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2015

Number of the records: 1