2010 - INRIA - Spike based neural codes - towards a novelbio-inspired still image coding schema

2010 - INRIA - Spike based neural codes - towards a novelbio-inspired still image coding schema

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Unformatted text preview: a p p o r t d e r e c h e r c h e ISSN0249-6399 ISRNINRIA/RR--7302--FR+ENG Thème BIO INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Spike based neural codes : towards a novel bio-inspired still image coding schema Khaled Masmoudi — Marc Antonini — Pierre Kornprobst N° 7302 May 2010 hal-00481969, version 2 - 6 Jul 2010 hal-00481969, version 2 - 6 Jul 2010 Centre de recherche INRIA Sophia Antipolis – Méditerranée 2004, route des Lucioles, BP 93, 06902 Sophia Antipolis Cedex Téléphone : +33 4 92 38 77 77 — Télécopie : +33 4 92 38 77 65 Spike based neural codes : towards a novel bio-inspired still image coding schema Khaled Masmoudi , Marc Antonini * , Pierre Kornprobst † Th` eme BIO — Syst` emes biologiques ´ Equipes-Projets NeuroMathComp & UNSA–CNRS–I3S Rapport de recherche n ° 7302 — May 2010 — 45 pages Abstract: We asked whether rank order coding could be used to define an efficient compression scheme for still images. The main hypothesis underlying this work is that the mammalians retina generates a compressed neural code for the visual stimuli. The main novelty of our approach is to show how this neural code can be exploited in the context of image compression. Our coding scheme is a combination of a simplified spiking retina model and well known data compression techniques and consists in three main stages. The first stage is the bio-inspired retina model proposed by Thorpe et al. This model transforms of a stimulus into a wave of electrical impulses called spikes. The major property of this retina model is that spikes are ordered in time as a function of the cells activation: this yields the so-called rank order code (ROC). ROC states that the first wave of spikes give a good estimate of the input signal. In the second stage, we show how this wave of spikes can be expressed using a 4-ary dictionary alphabet: the stack run coding. The third stage consists in applying, to the stack run code, a arithmetic coder of the first order. We then compare our results to the JPEG standards and we show that our model offers similar rate/quality trade-off until 0 . 07 bpp , for a lower computational cost. In addition, our model offers interesting properties of scalability and of robustness to noise. Key-words: Bio-inspired coding, spiking retina, stack run, still image com- pression * I3S † INRIA, EPI NeuroMathComp hal-00481969, version 2 - 6 Jul 2010 Spike based neural codes : towards a novel bio-inspired still image coding schema R´ esum´ e : Nous nous proposons dans ce travail de mettre en oeuvre un codeur d’images statiques inspir´ e des strat´ egies de codage dans le syst` eme visuel chez les primates. La compr´ ehension de ces sch´ emas de repr´ esentation des stimuli visuels a motiv´ e plusieurs ´ etudes durant ces dernires d´ ecennies. Les observations neurophysiologiques tendent confirmer la capacit´ e de notre cortex `a acqu´ erir, transmettre puis traiter les donn´ ees pr´ esentes dans la sc`...
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2010 - INRIA - Spike based neural codes - towards a novelbio-inspired still image coding schema

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