Two-dimensional Models to Predict a New Colour Appearance Dataset

An experiment was carried out to study the twodimensional (2D) colour appearance scales including whiteness, blackness, vividness, and depth. Forty samples were used to be assessed by 10 observers under a 6000K illuminant at 10, 100, 1,000 to 10,000 cd/m2. These data were used to develop new 2D scales and compared with the existing ones. It comes out the CAM6-UCS and sCAM based scales performed the best. The sCAM is a colour appearance model based on the Simple Uniform Colour Space (sUCS). Its structure will also be introduced.

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Publication Details

Journal
Color and Imaging Conference
Published
2024-10-28
DOI
https://doi.org/10.2352/cic.2024.32.1.26
Primary Topic
Color Science and Applications
Type
article
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article

Two-dimensional Models to Predict a New Colour Appearance Dataset

Ming Ronnier Luo, Molin Li
Color and Imaging Conference
Color Science and Applications
article

Two-dimensional Models to Predict a New Colour Appearance Dataset

Ming Ronnier Luo, Molin Li
article en

Abstract

An experiment was carried out to study the twodimensional (2D) colour appearance scales including whiteness, blackness, vividness, and depth. Forty samples were used to be assessed by 10 observers under a 6000K illuminant at 10, 100, 1,000 to 10,000 cd/m2. These data were used to develop new 2D scales and compared with the existing ones. It comes out the CAM6-UCS and sCAM based scales performed the best. The sCAM is a colour appearance model based on the Simple Uniform Colour Space (sUCS). Its structure will also be introduced.

Color and Imaging ConferenceVol. 32(1)
Zhejiang University (CN)
Openalex Percentile: Top 77%
Color Science and Applications
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