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Statistics of natural images as a function of dynamic range

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dc.contributor.author Grimaldi, Antoine Vincent
dc.contributor.author Kane, David
dc.contributor.author Bertalmío, Marcelo
dc.date.accessioned 2019-05-22T12:55:35Z
dc.date.available 2019-05-22T12:55:35Z
dc.date.issued 2019
dc.identifier.citation Grimaldi A, Kane D, Bertalmío M. Statistics of natural images as a function of dynamic range. Journal of vision. 2019 Feb;19(2):13. DOI: 10.1167/19.2.13
dc.identifier.issn 1534-7362
dc.identifier.uri http://hdl.handle.net/10230/37263
dc.description.abstract The statistics of real world images have been extensively investigated, but in virtually all cases using only low dynamic range image databases. The few studies that have considered high dynamic range (HDR) images have performed statistical analyses categorizing images as HDR according to their creation technique, and not to the actual dynamic range of the underlying scene. In this study we demonstrate, using a recent HDR dataset of natural images, that the statistics of the image as received at the camera sensor change dramatically with dynamic range, with particularly strong correlations with dynamic range being observed for the median, standard deviation, skewness, and kurtosis, while the one over frequency relationship for the power spectrum breaks down for images with a very high dynamic range, in practice making HDR images not scale invariant. Effects are also noted in the derivative statistics, the single pixel histograms, and the Haar wavelet analysis. However, we also show that after some basic early transforms occurring within the eye (light scatter, nonlinear photoreceptor response, center-surround modulation) the statistics of the resulting images become virtually independent from the dynamic range, which would allow them to be processed more efficiently by the human visual system.
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, Grantref. TIN2015- 71537-P(MINECO/ FEDER, UE).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Association for Research in Vision and Ophthalmology (ARVO)
dc.relation.ispartof Journal of vision. 2019 Feb;19(2):13.
dc.rights © The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title Statistics of natural images as a function of dynamic range
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://dx.doi.org/10.1167/19.2.13
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/780470
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761544
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-71537-P
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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