The von Kries chromatic adaptation transform and its generalization

Cheng Gao; Zhifeng Wang; Yang Xu; Manuel Melgosa; Kaida Xiao; Michael H. Brill; Changjun Li

doi:10.3788/COL202018.033301

Chinese Optics Letters, Volume. 18, Issue 3, 033301(2020)

The von Kries chromatic adaptation transform and its generalization

Cheng Gao^1,2, Zhifeng Wang², Yang Xu², Manuel Melgosa³, Kaida Xiao⁴, Michael H. Brill⁵, and Changjun Li^2、*

Author Affiliations

¹School of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, China

²School of Computer and Software Engineering, University of Science and Technology Liaoning, Anshan 114051, China

³Department of Optics, Faculty of Sciences, University of Granada, Granada 18071, Spain

⁴School of Design, University of Leeds, Leeds LS2 9JT, UK

⁵Datacolor, Lawrenceville, NJ 08648, USA

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Figures & Tables(1)

Table 1. Performance of von Kries (Γδ,β) and Generalized von Kries Transforms (Γδ,β″) Together with the (One-Step) CAT02 and the (One-Step) CAT16, in Terms of Mean, Weighted Mean, Maximum (Max), and Minimum (Min) CIELAB Color Differences from Visual Datasets on Corresponding Colors[16–22]

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Table 1. Performance of von Kries (Γδ,β) and Generalized von Kries Transforms (Γδ,β″) Together with the (One-Step) CAT02 and the (One-Step) CAT16, in Terms of Mean, Weighted Mean, Maximum (Max), and Minimum (Min) CIELAB Color Differences from Visual Datasets on Corresponding Colors[16–22]

	CAT02 Matrix			CAT16 Matrix			HPE Matrix
	$Γ_{δ, β}$	CAT02	$Γ_{δ, β}^{″}$	$Γ_{δ, β}$	CAT16	$Γ_{δ, β}^{″}$	$Γ_{δ, β}$	$Γ_{δ, β}^{″}$
Mean	7.6	6.3	6.2	8.1	6.3	6.2	9.4	7.4
Weighted Mean	6.4	5.5	5.5	6.9	5.6	5.6	8.1	6.7
Max	34.2	26.7	24.4	39.9	27.0	25.5	50.0	35.5
Min	0.5	0.3	0.4	0.3	0.3	0.3	0.4	0.3

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Cheng Gao, Zhifeng Wang, Yang Xu, Manuel Melgosa, Kaida Xiao, Michael H. Brill, Changjun Li. The von Kries chromatic adaptation transform and its generalization[J]. Chinese Optics Letters, 2020, 18(3): 033301

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Paper Information

Category: Vision, Color, and Visual Optics

Received: Nov. 2, 2019

Accepted: Dec. 11, 2019

Posted: Dec. 12, 2019

Published Online: Mar. 18, 2020

The Author Email: Changjun Li (cjliustl@sina.com)

DOI:10.3788/COL202018.033301

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