Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation

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

doi:10.1117/12.2025134

18 November 2013 Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation

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

Proceedings Volume 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications; 8785D1 (2013) https://doi.org/10.1117/12.2025134
Event: 8th Ibero American Optics Meeting/11th Latin American Meeting on Optics, Lasers, and Applications, 2013, Porto, Portugal

Abstract

Retinal images are often degraded with a blur that varies across the field 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.

Citation Download Citation

Andrés G. Marrugo, María S. Millán, Michal Šorel, and Filip Šroubek "Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation", Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 8785D1 (18 November 2013); https://doi.org/10.1117/12.2025134

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KEYWORDS

Point spread functions

Eye

Blood vessels

Cameras

Convolution

Deconvolution

Retinal scanning

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