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Journal of Biomedical Optics • Open Access

Retinal image restoration by means of blind deconvolution
Author(s): Andres G. Marrugo; Maria S. Millan; Michal Sorel; Filip Sroubek

Paper Abstract

Retinal imaging plays a key role in the diagnosis and management of ophthalmologic disorders, such as diabetic retinopathy, glaucoma, and age-related macular degeneration. Because of the acquisition process, retinal images often suffer from blurring and uneven illumination. This problem may seriously affect disease diagnosis and progression assessment. Here we present a method for color retinal image restoration by means of multichannel blind deconvolution. The method is applied to a pair of retinal images acquired within a lapse of time, ranging from several minutes to months. 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, ultimately, image deconvolution. The preprocessing is mainly composed of image registration, uneven illumination compensation, and segmentation of areas with structural changes. In addition, we have developed a procedure for the detection and visualization of structural changes. This enables the identification of subtle developments in the retina not caused by variation in illumination or blur. The method was tested on synthetic and real images. Encouraging experimental results show that the method is capable of significant restoration of degraded retinal images.

Paper Details

Date Published: 1 November 2011
PDF: 12 pages
J. Biomed. Opt. 16(11) 116016 doi: 10.1117/1.3652709
Published in: Journal of Biomedical Optics Volume 16, Issue 11
Show Author Affiliations
Andres G. Marrugo, Univ. Politècnica de Catalunya (Spain)
Maria S. Millan, Univ. Politècnica de Catalunya (Spain)
Michal Sorel, Institute of Information Theory and Automation (Czech Republic)
Filip Sroubek, Institute of Information Theory and Automation (Czech Republic)


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