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Open Access

FPGA-Based Real Time, Multichannel Emulated-Digital Retina Model Implementation

EURASIP Journal on Advances in Signal Processing20092009:749838

Received: 5 September 2008

Accepted: 30 January 2009

Published: 4 March 2009


The function of the low-level image processing that takes place in the biological retina is to compress only the relevant visual information to a manageable size. The behavior of the layers and different channels of the neuromorphic retina has been successfully modeled by cellular neural/nonlinear networks (CNNs). In this paper, we present an extended, application-specific emulated-digital CNN-universal machine (UM) architecture to compute the complex dynamic of this mammalian retina in video real time. The proposed emulated-digital implementation of multichannel retina model is compared to the previously developed models from three key aspects, which are processing speed, number of physical cells, and accuracy. Our primary aim was to build up a simple, real-time test environment with camera input and display output in order to mimic the behavior of retina model implementation on emulated digital CNN by using low-cost, moderate-sized field-programmable gate array (FPGA) architectures.


RetinaInformation TechnologyVisual InformationQuantum InformationTest Environment

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Authors’ Affiliations

Department of Image Processing and Neurocomputing, University of Pannonia, Veszprém, Hungary
Cellular Sensory and Wave Computing Laboratory, Computer and Automation Institute of HAS, Budapest, Hungary
Faculty of Information Technology, Pázmány Péter Catholic University, Budapest, Hungary


© Zsolt Vörösházi et al. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.