Vazquez-Corral, JavierConnah, DavidBertalmío, Marcelo2016-02-182016-02-182014Vazquez-Corral J, Connah D, Bertalmio M. Perceptual color characterization of cameras. Sensors. 2014;14:23205-23229. DOI: 10.3390/s141223205.1424-8220http://hdl.handle.net/10230/25897Color camera characterization, mapping outputs from the camera sensors to an/nindependent color space, such as XY Z, is an important step in the camera processing/npipeline. Until now, this procedure has been primarily solved by using a 3 × 3 matrix/nobtained via a least-squares optimization. In this paper, we propose to use the spherical/nsampling method, recently published by Finlayson et al., to perform a perceptual color/ncharacterization. In particular, we search for the 3 × 3 matrix that minimizes three different/nperceptual errors, one pixel based and two spatially based. For the pixel-based case,/nwe minimize the CIE ∆E error, while for the spatial-based case, we minimize both the/nS-CIELAB error and the CID error measure. Our results demonstrate an improvement of/napproximately 3% for the ∆E error, 7% for the S-CIELAB error and 13% for the CID/nerror measuresapplication/pdfeng© 2014 by the authors; licensee MDPI, Basel, Switzerland./nThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).info:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/s141223205Color characterizationCamera sensor responsePerceptual correctioninfo:eu-repo/semantics/openAccess