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Field-programmable encoding for address-event representation

In conventional frame-based image sensors, every pixel records brightness information and sends this information to a receiver serially in a scanning fashion. This full-frame readout approach suffers from high bandwidth requirements and increased power consumption with the increasing size of the pix...

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Detalles Bibliográficos
Autores principales: Purohit, Prafull, Manohar, Rajit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760944/
https://www.ncbi.nlm.nih.gov/pubmed/36545536
http://dx.doi.org/10.3389/fnins.2022.1018166
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author Purohit, Prafull
Manohar, Rajit
author_facet Purohit, Prafull
Manohar, Rajit
author_sort Purohit, Prafull
collection PubMed
description In conventional frame-based image sensors, every pixel records brightness information and sends this information to a receiver serially in a scanning fashion. This full-frame readout approach suffers from high bandwidth requirements and increased power consumption with the increasing size of the pixel array. Event-based image sensors are gaining popularity for reducing the bandwidth and power requirements by sending only meaningful data in an event-driven approach with the help of address-event representation (AER) communication protocol. However, the event-based readout suffers from increased latency and timing error when the number of pixels with an event increase. In this paper, we introduce a new field-programmable AER (FP-AER) encoding scheme which offers benefits of both frame-based and event-based approaches. The readout design can be configured “in the field” using configuration bits. We also compare the performance of the proposed design against existing AER-based approaches for imaging applications and show that FP-AER performs best in both scanning and event-based readout.
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spelling pubmed-97609442022-12-20 Field-programmable encoding for address-event representation Purohit, Prafull Manohar, Rajit Front Neurosci Neuroscience In conventional frame-based image sensors, every pixel records brightness information and sends this information to a receiver serially in a scanning fashion. This full-frame readout approach suffers from high bandwidth requirements and increased power consumption with the increasing size of the pixel array. Event-based image sensors are gaining popularity for reducing the bandwidth and power requirements by sending only meaningful data in an event-driven approach with the help of address-event representation (AER) communication protocol. However, the event-based readout suffers from increased latency and timing error when the number of pixels with an event increase. In this paper, we introduce a new field-programmable AER (FP-AER) encoding scheme which offers benefits of both frame-based and event-based approaches. The readout design can be configured “in the field” using configuration bits. We also compare the performance of the proposed design against existing AER-based approaches for imaging applications and show that FP-AER performs best in both scanning and event-based readout. Frontiers Media S.A. 2022-12-05 /pmc/articles/PMC9760944/ /pubmed/36545536 http://dx.doi.org/10.3389/fnins.2022.1018166 Text en Copyright © 2022 Purohit and Manohar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Purohit, Prafull
Manohar, Rajit
Field-programmable encoding for address-event representation
title Field-programmable encoding for address-event representation
title_full Field-programmable encoding for address-event representation
title_fullStr Field-programmable encoding for address-event representation
title_full_unstemmed Field-programmable encoding for address-event representation
title_short Field-programmable encoding for address-event representation
title_sort field-programmable encoding for address-event representation
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760944/
https://www.ncbi.nlm.nih.gov/pubmed/36545536
http://dx.doi.org/10.3389/fnins.2022.1018166
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