Optimized tone curve for in-camera image processing
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Cyriac, Praveenca
- dc.contributor.author Kane, Davidca
- dc.contributor.author Bertalmío, Marceloca
- dc.date.accessioned 2017-03-13T08:15:40Z
- dc.date.available 2017-03-13T08:15:40Z
- dc.date.issued 2016
- dc.description Comunicació presentada al IS&T International Symposium on Electronic Imaging, celebrat del 14 al 18 de febrer de 2016 a San Francisco (CA, USA) i organitzat per la Society for Imaging Science and Technology.
- dc.description.abstract The sensor values captured by a digital camera are transformed in a non-linear manner prior to quantization in order to make the quantization rate approximately proportional to the sensitivity of the human visual system. We propose an image dependent non-linear transformation that can accurately reproduce the detail and contrast visible in the original scene. The principles underpinning the transform stem from an understanding of natural image statistics, as well as recent experimental and neurophysiological findings. To optimize the parameters of the model we collect user-feedback and develop a method that can predict the user defined parameters. The method we have developed has an extremely low computational complexity, therefore it operates almost instantaneously making it suitable for in-camera operations. The final image looks natural, without any halos, spurious colors or artifacts. It can also be applied to video sequences, after imposing temporal coherence on the parameter values by smoothing them over time. The proposed approach is validated through psychophysical tests that confirm that it outperforms other state of the art algorithms in terms of users' preference.
- 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 Cyrlac P, Kane D, Bertalmío M. Optimized tone curve for in-camera image processing. In: IS&T International Symposium on Electronic Imaging Science and Technology; 2016 Febr. 14-18; San Francisco (CA, USA). Springfield: IS&T; 2016. Image Quality and System Performance XIII, p. IQSP-012.1 [7 p.]. DOI: 10.2352/ISSN.2470-1173.2016.13.IQSP-012
- dc.identifier.doi http://dx.doi.org/10.2352/ISSN.2470-1173.2016.13.IQSP-012
- dc.identifier.issn 1062-3701
- dc.identifier.uri http://hdl.handle.net/10230/28214
- dc.language.iso eng
- dc.publisher The Society for Imaging Science and Technology (IS&T)ca
- dc.relation.ispartof IS&T International Symposium on Electronic Imaging Science and Technology; 2016 Febr. 14-18; San Francisco (CA, USA). Springfield: IS&T; 2016. Image Quality and System Performance XIII, p. IQSP-012.1 [7 p.].
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337
- dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-38112
- dc.rights © 2016 Society for Imaging Science and Technology. Reprinted with permission of IS&T: The Society for Imaging Science and Technology sole copyright owners of Electronic Imaging, Image Quality and System Performance XIII.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.other Imatges -- Processament
- dc.subject.other Comunicació visual
- dc.title Optimized tone curve for in-camera image processingca
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/publishedVersion