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

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• dc.contributor.author Cyriac, Praveenca
• dc.contributor.author Bertalmío, Marceloca
• dc.contributor.author Kane, Davidca
• dc.contributor.author Vazquez-Corral, Javierca
• dc.date.accessioned 2016-06-13T10:28:35Z
• dc.date.available 2016-06-13T10:28:35Z
• dc.date.issued 2015ca
• dc.description.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. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
• dc.description.sponsorship This work was supported by the European Research Council, Starting Grant ref. 306337, by the Spanish government, grant ref. TIN2012-38112, and by the Icrea Academia Award.
• dc.format.mimetype application/pdfca
• dc.identifier.citation Cyriac P, Bertalmío M, Kane D, Vazquez-Corral J. A tone mapping operator based on neural and psychophysical models of visual perception. In: Rogowitz BE, Papas TN, Ridder H, editors. Proc. SPIE 9394, Human Vision and Electronic Imaging XX; 2015 March 17; San Francisco, California, United States. [Bellingham ]: SPIE. [p. 1-10]. DOI: 10.1117/12.2081212ca
• dc.identifier.doi http://dx.doi.org/10.1117/12.2081212
• dc.identifier.issn 0277-786Xca
• dc.identifier.uri http://hdl.handle.net/10230/26911
• dc.language.iso engca
• dc.publisher Society of Photo Optical Instrumentation Engineers (SPIE)ca
• dc.relation.ispartof Rogowitz BE, Papas TN, Ridder H, editors. Proc. SPIE 9394, Human Vision and Electronic Imaging XX; 2015 March 17; San Francisco, California, United States. [S.l]: SPIE. [p. 1-10].
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337ca
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-38112
• dc.rights © 2015 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. Cyriac P, Bertalmío M, Kane D, Vazquez-Corral J. A tone mapping operator based on neural and psychophysical models of visual perception. In: Rogowitz BE, Papas TN, Ridder H, editors. Proc. SPIE 9394, Human Vision and Electronic Imaging XX;2015 March 17;San Francisco, California, United States. [S.l]: SPIE. [p. 1-10]. http://dx.doi.org/10.1117/12.2081212ca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.subject.keyword Tone mapping
• dc.subject.keyword High dynamic range
• dc.subject.keyword Low dynamic range
• dc.subject.keyword Neural model
• dc.subject.keyword Psychophysical model
• dc.subject.keyword Visual perception
• dc.title A tone mapping operator based on neural and psychophysical models of visual perceptionca
• dc.type info:eu-repo/semantics/conferenceObjectca
• dc.type.version info:eu-repo/semantics/publishedVersionca