Search
Now showing items 1-8 of 8
LRemoving Dust Artifacts in Retinal Images via Dictionary Learning and Sparse-Based Inpainting
(Institute of Electrical and Electronics Engineers Inc., 2019)
In the field of ophthalmology, retinal images are essential for the diagnosis of many diseases. These images are acquired with a device called the retinal camera. However, often small dust particles in the sensor produce ...
Restoration of retinal images with space-variant blur
(2014)
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 ...
On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition
(SPIE, 2015)
Retinal images are used for diagnostic purposes by ophthalmologists. However, despite controlled conditions in acquisition retinal images often suffer from non-uniform illumination which hinder their clinical use. In this ...
Improving the blind restoration of retinal images by means of point-spread-function estimation assessment
(SPIE, 2015)
Retinal images often suffer from blurring which hinders disease diagnosis and progression assessment. The restoration of the images is carried out by means of blind deconvolution, but the success of the restoration depends ...
Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation
(2013)
Retinal images are often degraded with a blur that varies across the gield view. Because traditional deblurring algorithms assume the blur to be space-invariant they typically fail in the presence of space-variant blur. ...
Implementation of an image based focusing algorithm for non-mydriatic retinal imaging
(Institute of Electrical and Electronics Engineers Inc., 2014)
Retinal photography is important for the assessment of eye diseases. The task of fine focusing the image is demanding and lack of focus is often the cause of suboptimal photographs. The advent of digital cameras has provided ...
Robust detection and removal of dust artifacts in retinal images via dictionary learning and sparse-based inpainting
(SPIE, 2019)
Retinal images are acquired with eye fundus cameras which, like any other camera, can suffer from dust particles attached to the sensor and lens. These particles impede light from reaching the sensor, and therefore they ...
On the compensation of uneven illumination in retinal images for restoration by means of blind deconvolution
(Institute of Electrical and Electronics Engineers Inc., 2016)
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 ...
Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.
