Blue-noise sampling for human retinal cone spatial distribution modeling
Abstract
This paper proposes a novel method for modeling human retinal cone distribution. It is based on Blue-noise sampling algorithms that share interesting properties with the sampling performed by the mosaic formed by cone photoreceptors in the retina. Here we present the method together with a series of examples of various real retinal patches. The same samples have also been created with alternative algorithms and compared with plots of the center...
Paper Details
Title
Blue-noise sampling for human retinal cone spatial distribution modeling
Published Date
Jun 11, 2019
Journal
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Notes
History