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

Praveen Cyriac*, Marcelo Bertalmío, David Kane, Javier Vazquez-Corral

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libroCapítuloInvestigaciónrevisión exhaustiva

10 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings of SPIE-IS and T Electronic Imaging - Human Vision and Electronic Imaging XX
EditoresBernice E. Rogowitz, Thrasyvoulos N. Pappas, Huib de Ridder
ISBN (versión digital)9781628414844
DOI
EstadoPublicada - 2015

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen9394
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

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