A Vision Interface System to predict the visual output of different retinal architectures

Foveated retina has been studied in the last decades by researchers, however animal bio-inspired artificial retina is a new field that will produce new artificial light sensing artefacts which visual properties could be applied in different fields. A key point is the effect of unlike space photoreceptor distribution over the retina layout. The space distribution of photoreceptors over retina association defines unknown vision properties of those artefacts, then researchers and designers will require brand new software tools to predict the visual performance of brand new retina architectures. Animal world is full of distinctive photoreceptor retinal distribution examples that let animal´s acquired specific skills for living. We discuss in this paper a kindly software tool that can be applied to predict the performance of different photoreceptor arrangements in both: natural or artificial retinas. The kindly software presented in this paper is called Vision Interface System (VIS). The VIS predicts the visual performance of four different foveated models. The Loaiza[1], The Maximum and Minimum, the Polygonal and The Fuga foveated models.