Abstract
Developments in neurophysiology focusing on foveal vision have characterized more and more precisely the spatiotemporal processing that is well adapted to the regularization of the visual information within the retina. The works described in this article focus on a simplified architectural model based on features and mechanisms of adaptation in the retina. Similarly to the biological retina, which transforms luminance information into a series of encoded representations of image characteristics transmitted to the brain, our structural model allows us to reveal more information in the scene. Our modeling of the different functional pathways permits the mapping of important complementary information types at abstract levels of image analysis, and thereby allows a better exploitation of visual clues. Our model is based on a distributed cellular automata network and simulates the retinal processing of stimuli that are stationary or in motion. Thanks to its capacity for dynamic adaptation, our model can adapt itself to different scenes (e.g., bright and dim, stationary and moving, etc.) and can parallelize those processing steps that can be supported by parallel calculators.
Highlights
The works presented in this article benefit from simultaneous information extraction mechanisms enabling the detection of spatial contrast and movement in the layers of the retina
We offer an alternative to the conventional modeling techniques, which are typically very specialized
Our study focuses on a model that reproduces the first two functions while preserving the biological architecture
Summary
The works presented in this article benefit from simultaneous information extraction mechanisms enabling the detection of spatial contrast and movement in the layers of the retina. This will allow flexibility in combining our model with other computational models of visual processing. Heit traction of information representing the observed scene [1] [2]. According to these publications, when the eye detects a structure, each element of that structure that is more or less extricable contributes to the consistent reconstruction of a wider visual area
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