Finding a Colour Filter to Make a Camera Colorimetric by Optimisation

Graham Finlayson; Yuteng Zhu

doi:10.1007/978-3-030-13940-7_5

Finding a Colour Filter to Make a Camera Colorimetric by Optimisation

Graham Finlayson, Yuteng Zhu

Research output: Chapter in Book/Report/Conference proceeding › Chapter

11 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 language	English
Title of host publication	Computational Color Imaging
Subtitle of host publication	7th International Workshop, CCIW 2019, Chiba, Japan, March 27-29, 2019, Proceedings
Editors	Shoji Tominaga, Raimondo Schettini, Alain Tremeau, Takahiko Horiuchi
Publisher	Springer
Pages	53-62
ISBN (Electronic)	978-3-030-13940-7
ISBN (Print)	978-3-030-13939-1
DOIs	https://doi.org/10.1007/978-3-030-13940-7_5
Publication status	Published - 20 Feb 2019

Publication series

Name	Lectures Notes in Computer Science
Volume	11418

Access to Document

10.1007/978-3-030-13940-7_5

11 Citations (Scopus)
2 Chapter

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 proceeding › Chapter

2 Citations (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 proceeding › Chapter

1 Citation (Scopus)

Cite this

Finlayson, G., & Zhu, Y. (2019). Finding a Colour Filter to Make a Camera Colorimetric by Optimisation. In S. Tominaga, R. Schettini, A. Tremeau, & T. Horiuchi (Eds.), Computational Color Imaging: 7th International Workshop, CCIW 2019, Chiba, Japan, March 27-29, 2019, Proceedings (pp. 53-62). (Lectures Notes in Computer Science; Vol. 11418). Springer. https://doi.org/10.1007/978-3-030-13940-7_5

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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.",

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Finlayson, G & Zhu, Y 2019, Finding a Colour Filter to Make a Camera Colorimetric by Optimisation. in S Tominaga, R Schettini, A Tremeau & T Horiuchi (eds), Computational Color Imaging: 7th International Workshop, CCIW 2019, Chiba, Japan, March 27-29, 2019, Proceedings. Lectures Notes in Computer Science, vol. 11418, Springer, pp. 53-62. https://doi.org/10.1007/978-3-030-13940-7_5

Finding a Colour Filter to Make a Camera Colorimetric by Optimisation. / Finlayson, Graham; Zhu, Yuteng.

Computational Color Imaging: 7th International Workshop, CCIW 2019, Chiba, Japan, March 27-29, 2019, Proceedings. ed. / Shoji Tominaga; Raimondo Schettini; Alain Tremeau; Takahiko Horiuchi. Springer, 2019. p. 53-62 (Lectures Notes in Computer Science; Vol. 11418).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AB - 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.

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Finding a Colour Filter to Make a Camera Colorimetric by Optimisation

Abstract

Publication series

Access to Document

Research output

Physically Plausible Dehazing for Non-physical Dehazing Algorithms

Using the Monge-Kantorovitch Transform in Chromagenic Color Constancy for Pathophysiology

Cite this