Finding a Colour Filter to Make a Camera Colorimetric by Optimisation

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationComputational Color Imaging
Subtitle of host publication7th International Workshop, CCIW 2019, Chiba, Japan, March 27-29, 2019, Proceedings
EditorsShoji Tominaga, Raimondo Schettini, Alain Tremeau, Takahiko Horiuchi
PublisherSpringer
Pages53-62
ISBN (Electronic)978-3-030-13940-7
ISBN (Print)978-3-030-13939-1
DOIs
Publication statusPublished - 20 Feb 2019

Publication series

NameLectures Notes in Computer Science
Volume11418
  • Physically Plausible Dehazing for Non-physical Dehazing Algorithms

    Vasqez-Corral, J., Finlayson, G. & Bertalmio, M., 20 Feb 2019, Computational Color Imaging: 7th International Workshop, CCIW 2019, Chiba, Japan, March 27-29, 2019, Proceedings. Tominaga, S., Schettini, R., Trémeau, A. & Horiuchi, T. (eds.). Springer, p. 233-244 ( Lecture Notes in Computer Science; vol. 11418).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)
  • Using the Monge-Kantorovitch Transform in Chromagenic Color Constancy for Pathophysiology

    Hemrit, G., Matsushita, F., Uchida, M., Vasqez-Corral, J., Gong, H., Tsumura, N. & Finlayson, G., 20 Feb 2019, Computational Color Imaging: 7th International Workshop, CCIW 2019, Chiba, Japan, March 27-29, 2019, Proceedings. Tominaga, S., Schettini, R., Trémeau, A. & Horiuchi, T. (eds.). Springer, p. 121-133 ( Lecture Notes in Computer Science ; vol. 11418).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)

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