Color stabilization for multi-camera light-field imaging

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• dc.contributor.author Vu-Thanh, Olivier
• dc.contributor.author Canham, Trevor
• dc.contributor.author Vazquez-Corral, Javier
• dc.contributor.author Gil Rodríguez, Raquel
• dc.contributor.author Bertalmío, Marcelo
• dc.date.accessioned 2020-10-16T07:39:42Z
• dc.date.issued 2020
• dc.description.abstract By capturing a more complete rendition of scene light than standard 2D cameras, light-field technology represents an important step towards closing the gap between live action cinematography and computer graphics. Light-field cameras accomplish this by simultaneously capturing the same scene under different angular configurations, providing directional information that allows for a multitude of post-production effects. Among the practical challenges related to capturing multiple images simultaneously, a very important problem is the fact that the different images do not perfectly match in terms of color, which severely complicates all further processing. In this work we adapt and extend to the light-field scenario a color stabilization method previously proposed for standard multi-camera shoots, and demonstrate experimentally that it provides an improvement over the state-of-the-art techniques for light-field imaging.en
• dc.description.sponsorship This work has received 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).
• dc.format.mimetype application/pdf
• dc.identifier.citation Vu Thanh O, Canham T, Vazquez-Corral J, Gil Rodríguez R, Bertalmío M. Color stabilization for multi-camera light-field imaging. In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP); 2020 May 4-8; Barcelona, Spain. New Jersey: Institute of Electrical and Electronics Engineers; 2020. p. 2148-52. DOI: 10.1109/ICASSP40776.2020.9053088
• dc.identifier.doi http://dx.doi.org/10.1109/ICASSP40776.2020.9053088
• dc.identifier.issn 1520-6149
• dc.identifier.uri http://hdl.handle.net/10230/45500
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof International Conference on Acoustics, Speech, and Signal Processing (ICASSP); 2020 May 4-8; Barcelona, Spain. New Jersey: Institute of Electrical and Electronics Engineers; 2020. p. 2148-52
• 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.rights © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/ICASSP40776.2020.9053088
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Light field imagingen
• dc.subject.keyword Color stabilizationen
• dc.subject.keyword Color matchingen
• dc.subject.keyword Camera post-processingen
• dc.title Color stabilization for multi-camera light-field imagingen
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion