Characterization of color differences for color palettes

Jialu Wu, Jie Yang, Minchen Wei, Kaida Xiao, Stephen Westland

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Various color difference metrics were developed for characterizing the perceived color difference between individual color patches. Color difference between palettes containing multiple color patches, however, is critically important in product design and computer graphics. This study aimed to investigate how the perceived color difference between a pair of color palettes containing more than a single color patch is affected by the order and number of color patches in the palette. Two reference color sets were generated and each set had four color palettes containing 1, 4, 9, and 16 color patches that were arranged as 1 × 1, 2 × 2, 3 × 3, and 4 × 4 patterns. Human observers scaled the color differences between a color palette of the reference set and a color palette that had revised colors, or revised orders, or a combination of revised colors and orders compared to the reference palette. The calculated color differences between the two palettes were derived using the Minimum Color Difference Model (MICDM) algorithm proposed in a recent work with different color difference metrics, including CIELAB, CMC, CIE94, and DE2000. It was found that the perceived color differences of pairs of individual color patches were significantly larger than those containing multiple patches, when the calculated color differences were the same. The color differences metrics, except for CIE94, had similar performance when characterizing perceived color differences between color palettes

Original languageEnglish
Title of host publication28th Color and Imaging Conference 2020, CIC 2020
PublisherSociety for Imaging Science and Technology
Number of pages5
ISBN (Electronic)9781713826972
Publication statusPublished - Nov 2020
Event28th Color and Imaging Conference 2020, CIC 2020 - Virtual, Online
Duration: 4 Nov 202019 Nov 2020

Publication series

NameFinal Program and Proceedings - IS and T/SID Color Imaging Conference
ISSN (Print)2166-9635
ISSN (Electronic)2169-2629


Conference28th Color and Imaging Conference 2020, CIC 2020
CityVirtual, Online

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics


Dive into the research topics of 'Characterization of color differences for color palettes'. Together they form a unique fingerprint.

Cite this