Event-based coding of still images using a bio-inspired frame

The growing interest of event-based systems has influenced image processing field and is expected to be a groundbreaking architecture for image and video compression. The human visual system is an efficient event-based biological system which is a source of inspiration to design an event-based codec. This paper introduces a bio-inspired encoding architecture for still images. A bio-inspired filter is first applied to the input image and then the retinal-filtered image is fed to an Integrate And Fire (IAF) sampler. The spike train produced by the IAF sampler is decoded in order to reconstruct the still image at the receiver. We prove that the retinal filter has a frame structure, so the reconstruction is almost perfect provided that the IAF sampling is sufficiently fine.