Paper
22 March 2019 Simulation of image enhancement by stochastic resonance in the human vision system
Author Affiliations +
Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104933 (2019) https://doi.org/10.1117/12.2521547
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore
Abstract
Elucidation of information processing in our brains is progressing given the highly informationoriented world we live in. Noise is inevitably present in both man-made and natural systems. Previously, these elements were removed for signal detection and information processing. However, recent studies have reported that noise plays a major role in brain information processing. One of the salient features of the relationship between noise and the vision system is the stochastic resonance phenomenon, wherein the detection rate of a weak signal is improved by the visual addition of a blinking noise of appropriate intensity. Improved understanding of the vision system is very useful for the development of imaging technology. This strategy of improving weak signal detection can be applied to digital image processing. In this study, we propose a vision model based on the FitzHugh–Nagumo equation and confirm that the stochastic resonance in brightness perception can be described by the model.
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Naoki Kawaguchi and Atsushi Osa "Simulation of image enhancement by stochastic resonance in the human vision system", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104933 (22 March 2019); https://doi.org/10.1117/12.2521547
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KEYWORDS
Signal to noise ratio

Stochastic processes

Visual process modeling

Human vision and color perception

Interference (communication)

Image enhancement

Signal detection

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