A geometric model of brightness perception and its application to color images correction

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• dc.contributor.author Batard, Thomas
• dc.contributor.author Bertalmío, Marcelo
• dc.date.accessioned 2019-05-22T13:22:00Z
• dc.date.available 2019-05-22T13:22:00Z
• dc.date.issued 2018
• dc.description.abstract Human perception involves many features like contours, shapes, textures, and colors to name a few. Whereas several geometric models for contours, shapes and textures perception have been proposed, the geometry of color perception has received very little attention, possibly due to the fact that our perception of colors is still not fully understood. Nonetheless, there exists a class of mathematical models, gathered under the name Retinex, that aim at modeling the color perception of an image, that are inspired by psychophysical/physiological knowledge about color perception, and that can geometrically be viewed as the averaging of perceptual distances between image pixels. Some of the Retinex models turn out to be associated to an efficient image processing technique for the correction of camera output images. The aim of this paper is to show that this image processing technique can be improved by including more properties of the human visual system. To that purpose, we first present a generalization of the perceptual distance between image pixels by considering the parallel transport map associated to a covariant derivative on a vector bundle, and from which can be derived a new image processing model for color images correction. Then, we show that the family of covariant derivatives constructed in [T. Batard and N. Sochen, J. Math. Imaging Vision, 48(3) (2014), pp. 517-543] can model some color appearance phenomena related to brightness perception. Finally, we conduct experiments in which we show that the image processing techniques induced by these covariant derivatives outperform the original approach.en
• dc.description.sponsorship This work was supported by the European Research Council, Starting Grant ref. 306337, by the Spanish government and FEDER Fund, grant ref. TIN2015-71537-P (MINECO/FEDER,UE), and by the Icrea Academia Award.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Batard T, Bertalmío M. A geometric model of brightness perception and its application to color images correction. J Math Imaging Vis. 2018 Jul;60(6):849-81. DOI: 10.1007/s10851-018-0792-2
• dc.identifier.doi http://dx.doi.org/10.1007/s10851-018-0792-2
• dc.identifier.issn 0924-9907
• dc.identifier.uri http://hdl.handle.net/10230/37264
• dc.language.iso eng
• dc.publisher Springer
• dc.relation.ispartof Journal of Mathematical Imaging and Vision. 2018 Jul;60(6):849-81.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-71537-P
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337
• dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/s10851-018-0792-2
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Differential geometryen
• dc.subject.keyword Variational modelen
• dc.subject.keyword Contrast enhancementen
• dc.subject.keyword Brightness perceptionen
• dc.subject.keyword Human visual systemen
• dc.subject.keyword Retinexen
• dc.title A geometric model of brightness perception and its application to color images correction
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion