Physiological modeling of retinal layers for detecting the level of perception of people with night blindness

Abstract

Human visual system (HVS) model concentrates on the evaluations of image quality as well as with the performance of the human observer in the process of visual recognition. Mathematical modeling of retina plays a vital role to produce better visual perception. The retina is responsible for detecting incoming light signal, and also proceeds to achieve with complex signal transformations. The main aim of this work is to develop an HVS (human visual system) model for detecting the perceptual level of people with night blindness. Mathematical modeling of photoreceptor, outer-plexiform and inner- plexiform layers is performed in this study considering the properties of compression and spatial properties in the processing of visual information. People with normal vision can visualize image clearly even in moonlight. The situation is not the same for a people with night blindness, they are unable to visualize image in dim light. In this work, it has been proved through physiological model that the perceptual level of people with night blindness is approximately same in day light vision where as it very poor in the case of people with night blindness.