The intrinsic error of exposure fusion for HDR imaging, and a way to reduce it

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  • dc.contributor.author Gil Rodríguez, Raquelca
  • dc.contributor.author Vazquez-Corral, Javierca
  • dc.contributor.author Bertalmío, Marceloca
  • dc.date.accessioned 2016-06-06T09:50:23Z
  • dc.date.available 2016-06-06T09:50:23Z
  • dc.date.issued 2015ca
  • dc.description.abstract In this paper we present a novel approach to the problem of exposure fusion of a stack of pictures for the generation of high dynamic range (HDR) radiance maps. All exposure fusion approaches, when applied on 8-bit non-RAW pictures, perform photometric/ncalibration by estimating and inverting the camera response function, which is assumed to be a channelwise-independent function which does not change with the exposure. Our experiments show that these assumptions do not always hold and that the camera may automatically introduce changes (in gain, white balance, gamma correction value) from one exposure to the next when performing the non-linear operations involved in recording pictures in non-RAW formats such as JPEG. The net result is that HDR radiance maps obtained from exposure fusion of non-linear data may have substantially more error than if computed directly from the linear, RAW data. Our proposed method overcomes this problem and compensates for the changes introduced by the camera by matching the color correction and gamma correction transforms of all pictures to those of a reference picture in the stack, providing a clear improvement in terms of PSNR with respect to the classical method of Debevec and Malik.
  • 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 Gil R, Vazquez-Corral J, Bertalmío M. The intrinsic error of exposure fusion for HDR imaging, and a way to reduce it. In: Xie X, Jones MW, Tam GKL, editors. Proceedings of the British Machine Vision Conference (BMVC); 2015 Sept 7-10; Swansea, United Kingdom. [Durham]: BMVA Press; 2015. p. 126.1-12. doi:10.5244/C.29.126ca
  • dc.identifier.doi http://dx.doi.org/10.5244/C.29.126
  • dc.identifier.uri http://hdl.handle.net/10230/26852
  • dc.language.iso engca
  • dc.publisher The British Machine Vision Association (BMVA)ca
  • dc.relation.ispartof In: Xie X, Jones MW, Tam GKL, editors. Proceedings of the British Machine Vision Conference (BMVC); 2015 Sept 7-10; Swansea, United Kingdom. [S.l.]: BMVA Press; 2015. p. 126.1-12.
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337ca
  • dc.rights © 2015. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic formsca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.title The intrinsic error of exposure fusion for HDR imaging, and a way to reduce itca
  • dc.type info:eu-repo/semantics/conferenceObjectca
  • dc.type.version info:eu-repo/semantics/publishedVersionca

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