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Inverse Tone Mapping Based upon Retina Response

The development of high dynamic range (HDR) display arouses the research of inverse tone mapping methods, which expand dynamic range of the low dynamic range (LDR) image to match that of HDR monitor. This paper proposed a novel physiological approach, which could avoid artifacts occurred in most exi...

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Detalles Bibliográficos
Autores principales: Huo, Yongqing, Yang, Fan, Brost, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973007/
https://www.ncbi.nlm.nih.gov/pubmed/24744678
http://dx.doi.org/10.1155/2014/168564
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author Huo, Yongqing
Yang, Fan
Brost, Vincent
author_facet Huo, Yongqing
Yang, Fan
Brost, Vincent
author_sort Huo, Yongqing
collection PubMed
description The development of high dynamic range (HDR) display arouses the research of inverse tone mapping methods, which expand dynamic range of the low dynamic range (LDR) image to match that of HDR monitor. This paper proposed a novel physiological approach, which could avoid artifacts occurred in most existing algorithms. Inspired by the property of the human visual system (HVS), this dynamic range expansion scheme performs with a low computational complexity and a limited number of parameters and obtains high-quality HDR results. Comparisons with three recent algorithms in the literature also show that the proposed method reveals more important image details and produces less contrast loss and distortion.
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spelling pubmed-39730072014-04-17 Inverse Tone Mapping Based upon Retina Response Huo, Yongqing Yang, Fan Brost, Vincent ScientificWorldJournal Research Article The development of high dynamic range (HDR) display arouses the research of inverse tone mapping methods, which expand dynamic range of the low dynamic range (LDR) image to match that of HDR monitor. This paper proposed a novel physiological approach, which could avoid artifacts occurred in most existing algorithms. Inspired by the property of the human visual system (HVS), this dynamic range expansion scheme performs with a low computational complexity and a limited number of parameters and obtains high-quality HDR results. Comparisons with three recent algorithms in the literature also show that the proposed method reveals more important image details and produces less contrast loss and distortion. Hindawi Publishing Corporation 2014-03-12 /pmc/articles/PMC3973007/ /pubmed/24744678 http://dx.doi.org/10.1155/2014/168564 Text en Copyright © 2014 Yongqing Huo et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Huo, Yongqing
Yang, Fan
Brost, Vincent
Inverse Tone Mapping Based upon Retina Response
title Inverse Tone Mapping Based upon Retina Response
title_full Inverse Tone Mapping Based upon Retina Response
title_fullStr Inverse Tone Mapping Based upon Retina Response
title_full_unstemmed Inverse Tone Mapping Based upon Retina Response
title_short Inverse Tone Mapping Based upon Retina Response
title_sort inverse tone mapping based upon retina response
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973007/
https://www.ncbi.nlm.nih.gov/pubmed/24744678
http://dx.doi.org/10.1155/2014/168564
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