A tone mapping operator based on neural and psychophysical models of visual perception

Praveen Cyriac; Marcelo Bertalmio; David Kane; Javier Vazquez-Corral

doi:10.1117/12.2081212

17 March 2015 A tone mapping operator based on neural and psychophysical models of visual perception

Praveen Cyriac, Marcelo Bertalmio, David Kane, Javier Vazquez-Corral

Author Affiliations +

Proceedings Volume 9394, Human Vision and Electronic Imaging XX; 93941I (2015) https://doi.org/10.1117/12.2081212
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

High dynamic range imaging techniques involve capturing and storing real world radiance values that span many orders of magnitude. However, common display devices can usually reproduce intensity ranges only up to two to three orders of magnitude. Therefore, in order to display a high dynamic range image on a low dynamic range screen, the dynamic range of the image needs to be compressed without losing details or introducing artefacts, and this process is called tone mapping. A good tone mapping operator must be able to produce a low dynamic range image that matches as much as possible the perception of the real world scene. We propose a two stage tone mapping approach, in which the first stage is a global method for range compression based on a gamma curve that equalizes the lightness histogram the best, and the second stage performs local contrast enhancement and color induction using neural activity models for the visual cortex.

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Praveen Cyriac, Marcelo Bertalmio, David Kane, and Javier Vazquez-Corral "A tone mapping operator based on neural and psychophysical models of visual perception", Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 93941I (17 March 2015); https://doi.org/10.1117/12.2081212

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