Retinal-inspired Filtering for Dynamic Image Coding
This work addresses image coding for applications requiring dynamic or progressive display, but it appears incremental as it builds on existing retinal models and filtering techniques.
The paper tackles the problem of dynamic image coding by introducing a non-SPAM filter inspired by retinal processing to decompose still images into time-varying components, resulting in progressive reconstruction with quality improving over time.
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.