A Biologically Inspired Image Coder with Temporal Scalability

Khaled Masmoudi 1 Marc Antonini 1 Pierre Kornprobst 2
2 NEUROMATHCOMP
CRISAM - Inria Sophia Antipolis - Méditerranée , INRIA Rocquencourt, ENS Paris - École normale supérieure - Paris, UNS - Université Nice Sophia Antipolis, CNRS - Centre National de la Recherche Scientifique : UMR8548
Abstract : We present a novel bio-inspired and dynamic coding scheme for static images. Our coder aims at reproducing the main steps of the visual stimulus processing in the mammalian retina taking into account its time behavior. The main novelty of this work is to show how to exploit the time behavior of the retina cells to ensure, in a simple way, scalability and bit allocation. To do so, our main source of inspiration will be the biologically plausible retina model called Virtual Retina. Following a similar structure, our model has two stages. The first stage is an image transform which is performed by the outer layers in the retina. Here it is modelled by filtering the image with a bank of difference of Gaussians with time-delays. The second stage is a time-dependent analog-to-digital conversion which is performed by the inner layers in the retina. Thanks to its conception, our coder enables scalability and bit allocation across time. Also, our decoded images do not show annoying artefacts such as ringing and block effects. As a whole, this article shows how to capture the main properties of a biological system, here the retina, in order to design a new efficient coder.
Type de document :
Communication dans un congrès
ACIVS - Advanced Concepts for Intelligent Vision Systems - 2011, 2011, Ghent, Belgium. Springer, 6915, pp.447-458, 2011, Lecture Notes in Computer Science. <10.1007/978-3-642-23687-7_41>
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https://hal.inria.fr/hal-00845748
Contributeur : Pierre Kornprobst <>
Soumis le : mercredi 17 juillet 2013 - 16:13:36
Dernière modification le : mercredi 14 décembre 2016 - 01:06:07

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Khaled Masmoudi, Marc Antonini, Pierre Kornprobst. A Biologically Inspired Image Coder with Temporal Scalability. ACIVS - Advanced Concepts for Intelligent Vision Systems - 2011, 2011, Ghent, Belgium. Springer, 6915, pp.447-458, 2011, Lecture Notes in Computer Science. <10.1007/978-3-642-23687-7_41>. <hal-00845748>

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