Matching visual induction effects on screens of different size

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• dc.contributor.author Canham, Trevor
• dc.contributor.author Vazquez-Corral, Javier
• dc.contributor.author Mathieu, Elise
• dc.contributor.author Bertalmío, Marcelo
• dc.date.accessioned 2023-03-01T13:51:13Z
• dc.date.available 2023-03-01T13:51:13Z
• dc.date.issued 2021
• dc.description.abstract In the film industry, the same movie is expected to be watched on displays of vastly different sizes, from cinema screens to mobile phones. But visual induction, the perceptual phenomenon by which the appearance of a scene region is affected by its surroundings, will be different for the same image shown on two displays of different dimensions. This phenomenon presents a practical challenge for the preservation of the artistic intentions of filmmakers, because it can lead to shifts in image appearance between viewing destinations. In this work, we show that a neural field model based on the efficient representation principle is able to predict induction effects and how, by regularizing its associated energy functional, the model is still able to represent induction but is now invertible. From this finding, we propose a method to preprocess an image in a screen–size dependent way so that its perception, in terms of visual induction, may remain constant across displays of different size. The potential of the method is demonstrated through psychophysical experiments on synthetic images and qualitative examples on natural images.
• dc.description.sponsorship Funding from the European Union's Horizon 2020 research and innovation programme under grant agreement number 761544 (project HDR4EU) and under grant agreement number 780470 (project SAUCE), and by the Spanish government and FEDER Fund, grant ref. PGC2018-099651-B-I00 (MCIU/AEI/FEDER, UE). JVC received funding from the project PID2019-109628RJ-I00/AEI/10.13039/501100011033 by the Ministerio de Ciencia, Innovación y Universidades (MCIU) and the Agencia Estatal de Investigación (AEI) of the Spanish government.
• dc.format.mimetype application/pdf
• dc.identifier.citation Canham T, Vazquez-Corral J, Mathieu E, Bertalmío M. Matching visual induction effects on screens of different size. J Vis. 2021;21(6):10. DOI: 10.1167/jov.21.6.10
• dc.identifier.doi http://dx.doi.org/10.1167/jov.21.6.10
• dc.identifier.issn 1534-7362
• dc.identifier.uri http://hdl.handle.net/10230/55994
• dc.language.iso eng
• dc.publisher Association for Research in Vision and Ophthalmology (ARVO)
• dc.relation.ispartof Journal of Vision. 2021;21(6):10.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761544
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/780470
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PGC2018-099651-B-I00
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-109628RJ-I00
• dc.rights Copyright 2021, The Authors. This work is licensed under a Creative Commons Attribution 4.0 International License.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword color perception
• dc.subject.keyword visual induction
• dc.subject.keyword efficient representation principle
• dc.subject.keyword neural field models
• dc.subject.keyword local histogram equalization
• dc.subject.keyword variational models
• dc.subject.keyword Wilson-Cowan equations
• dc.title Matching visual induction effects on screens of different size
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion