Finding a Colour Filter to Make a Camera Colorimetric by Optimisation

Finlayson, Graham and Zhu, Yuteng (2019) Finding a Colour Filter to Make a Camera Colorimetric by Optimisation. In: Computational Color Imaging. Lectures Notes in Computer Science . Springer, pp. 53-62. ISBN 978-3-030-13939-1

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Abstract

The Luther condition states that a camera is colorimetric if its spectral sensitivities are a linear transform from the XYZ colour matching functions. Recently, a method has been proposed for finding the optimal coloured filter that when placed in front of a camera, results in effective sensitivities that satisfy the Luther condition. The advantage of this method is that it finds the best filter for all possible physical capture conditions. The disadvantage is that the statistical information of typical scenes are not taken into account. In this paper we set forth a method for finding the optimal filter given a set of typical surfaces and lights. The problem is formulated as a bilinear least-squares estimation problem (linear both in the filter and the colour correction). This is solved using Alternating Least-Squares (ALS) technique. For a range of cameras we show that it is possible to find an optimal colour correction filter with respect to which the cameras are almost colorimetric.

Item Type: Book Section
Faculty \ School: Faculty of Science > School of Computing Sciences
Faculty of Science > School of Biological Sciences
Depositing User: LivePure Connector
Date Deposited: 27 Mar 2019 10:30
Last Modified: 22 Apr 2020 11:21
URI: https://ueaeprints.uea.ac.uk/id/eprint/70353
DOI: 10.1007/978-3-030-13940-7_5

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