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Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies - ISABEL '11

DOI: 10.1145/2093698.2093705

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Multichannel Blind Deconvolution in Eye Fundus Imaging

Journal article published in 2011 by Andrés Guillermo Marrugo Hernández, Michal Šorel, Filip Šroubek ORCID, M. Sagrario Millán Garcia-Varela
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Eye fundus imaging is vital for modern ophthalmology. Due to the acquisition process, fundus images often suffer from blurring and uneven illumination. This hinders diagnosis and the evolution assessment of a disease. We present a method for fundus image deblurring by means of multichannel blind deconvolution. It consists of a series of preprocessing steps to adjust the images so they comply with the considered degradation model, followed by the estimation of the point spread function, and image deconvolution. Results show that our approach is capable of significant resolution improvement in degraded retinal images.