On the Representation of Image Structures via Scale Space Entropy Conditions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biology-Inspired Early Vision System for a Spike Processing Neurocomputer
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
A Computational Retina Model and Its Self-adjustment Property
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
MRI and PET image fusion by combining IHS and retina-inspired models
Information Fusion
Multilayer and multipathway simulation on retina
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Simulating light adaptation in the retina with rod-cone coupling
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Main Retina Information Processing Pathways Modeling
International Journal of Cognitive Informatics and Natural Intelligence
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At the retinal level, the strategies utilized by biological visual systems allow them to outperform machine vision systems, serving to motivate the design of electronic or “smart” sensors based on similar principles. Design of such sensors in silicon first requires a model of retinal information processing which captures the essential features exhibited by biological retinas. In this paper, a simple retinal model is presented, which qualitatively accounts for the achromatic information processing in the primate cone system. The computer retina model exhibits many of the properties found in biological retinas such as data reduction through nonuniform sampling, adaptation to a large dynamic range of illumination levels, variation of visual acuity with illumination level, and enhancement of spatiotemporal contrast information. The main emphasis of the model presented here is to demonstrate how different adaptation mechanisms play a role in extending the operating range of the primate retina