Modeling the Amacrine Cells in the Primate Retina for Contrast Enhancement and Noise Reduction of Images Provided to Artificial Vision Systems


Although many of the neurons and neural connections within the human visual system have been studied extensively, this knowledge is rarely utilized in artificial vision systems. This paper examines the first processing region of the primate visual system, the retina. Previously, a retina model incorporating the interactions occurring within its first layer, involving the photoreceptors, bipolar, and horizontal cells, has proven effective for edge detection and noise reduction. Now, a model for the second layer of the retina, involving two different types of amacrine cells, is developed and tested. Simulations with gray scale images illustrate how the addition of the model amacrine cell interactions acting on the first layer outputs has the desired property of enhancing regions of low contrast, while providing gain control and noise reduction for the output response of the retina model.


Electrical and Computer Engineering

Second Department

Engineering Management and Systems Engineering

Document Type

Article - Journal

Document Version


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© 2024 The Authors, All rights reserved.

Publication Date

01 Dec 1996

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