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Sensors 2014, 14(12), 23205-23229; doi:10.3390/s141223205

Perceptual Color Characterization of Cameras

1
Information and Communications Technologies Department, Universitat Pompeu Fabra, Roc Boronat 138, Barcelona 08018, Spain
2
Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK
*
Author to whom correspondence should be addressed.
Received: 3 October 2014 / Revised: 18 November 2014 / Accepted: 24 November 2014 / Published: 5 December 2014
(This article belongs to the Section Physical Sensors)
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Abstract

Color camera characterization, mapping outputs from the camera sensors to an independent color space, such as \(XYZ\), is an important step in the camera processing pipeline. Until now, this procedure has been primarily solved by using a \(3 \times 3\) matrix obtained via a least-squares optimization. In this paper, we propose to use the spherical sampling method, recently published by Finlayson al., to perform a perceptual color characterization. In particular, we search for the \(3 \times 3\) matrix that minimizes three different perceptual errors, one pixel based and two spatially based. For the pixel-based case, we minimize the CIE \(\Delta E\) error, while for the spatial-based case, we minimize both the S-CIELAB error and the CID error measure. Our results demonstrate an improvement of approximately 3for the \(\Delta E\) error, 7& for the S-CIELAB error and 13% for the CID error measures. View Full-Text
Keywords: color characterization; perceptual correction; camera sensor response color characterization; perceptual correction; camera sensor response
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Vazquez-Corral, J.; Connah, D.; Bertalmío, M. Perceptual Color Characterization of Cameras. Sensors 2014, 14, 23205-23229.

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