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Retinal-inspired Filtering for Dynamic Image Coding

2021-03-22 10:39:47
Effrosyni Doutsi, Lionel Fillatre, Marc Antonini, Julien Gaulmin
arXiv_CV
     
Abstract

This paper introduces a novel non-Separable sPAtioteMporal filter (non-SPAM) which enables the spatiotemporal decomposition of a still-image. The construction of this filter is inspired by the model of the retina which is able to selectively transmit information to the brain. The non-SPAM filter mimics the retinal-way to extract necessary information for a dynamic encoding/decoding system. We applied the non-SPAM filter on a still image which is flashed for a long time. We prove that the non-SPAM filter decomposes the still image over a set of time-varying difference of Gaussians, which form a frame. We simulate the analysis and synthesis system based on this frame. This system results in a progressive reconstruction of the input image. Both the theoretical and numerical results show that the quality of the reconstruction improves while the time increases.

Abstract (translated)

URL

https://arxiv.org/abs/2103.11716

PDF

https://arxiv.org/pdf/2103.11716.pdf

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