On the compensation of uneven illumination in retinal images for restoration by means of blind deconvolution

Retinal eye fundus images are used for diagnostic purposes, but despite controlled conditions in acquisition they often suffer from uneven illumination and blur. In this work, we propose the use of multi-channel blind deconvolution for the restoration of blurred retinal images. The estimation of an adequate point-spread function (PSF) is highly dependent on the registration of at least two images from the same retina, which undergo illumination compensation. We use the bi-dimensional empirical mode decomposition (BEMD) approach to model the illumination distribution as a sum of non-stationary signals. The BEMD approach enables an artifact-free compensation of the illumination in order to estimate an adequate PSF and carry out the best restoration possible. Encouraging experimental results show significant enhancement in the retinal images with increased contrast and visibility of subtle details like small blood vessels. © 2016 IEEE.

• Fecha de publicación: 2016
• Institución: Universidad Tecnológica de Bolívar
• Repositorio: Repositorio Institucional UTB
• Idioma: eng
• OAI Identifier: oai:repositorio.utb.edu.co:20.500.12585/8978
• Acceso en línea: https://hdl.handle.net/20.500.12585/8978
• Palabra clave: Blood vessels; Convolution; Medical imaging; Ophthalmology; Optical transfer function; Restoration; Signal processing; Vision; Bi dimensional empirical mode decomposition (BEMD); Blind deconvolution; Controlled conditions; Illumination compensation; Illumination distribution; Multi channel; Nonstationary signals; Uneven illuminations; Image processing
• Rights: restrictedAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/