Retinal-inspired Filtering for Dynamic Image Coding

TL;DR

This paper presents a retinal-inspired spatiotemporal filter (non-SPAM) that decomposes still images into a set of time-varying differences of Gaussians, enabling progressive image reconstruction with improved quality over time.

Contribution

The paper introduces a novel non-separable spatiotemporal filter inspired by the retina, capable of decomposing still images for dynamic encoding and progressive reconstruction.

Findings

The non-SPAM filter decomposes images into a frame of time-varying differences of Gaussians.

The analysis and synthesis system achieves progressive image reconstruction.

Reconstruction quality improves as more time passes.

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.