English

Retinal-inspired Filtering for Dynamic Image Coding

Image and Video Processing 2021-03-23 v1 Computer Vision and Pattern Recognition Signal Processing

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.

Keywords

Cite

@article{arxiv.2103.11716,
  title  = {Retinal-inspired Filtering for Dynamic Image Coding},
  author = {Effrosyni Doutsi and Lionel Fillatre and Marc Antonini and Julien Gaulmin},
  journal= {arXiv preprint arXiv:2103.11716},
  year   = {2021}
}
R2 v1 2026-06-24T00:24:58.836Z