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Volume: 30 | Article ID: 40
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Weighted Geometric Mean (WGM) Method: A New Chromatic Adaptation Model
  DOI :  10.2352/CIC.2022.30.1.40  Published OnlineNovember 2022
Abstract
Abstract

The geometric mean has been suggested to be the fundamental mathematical relationship that governs peripheral sensory adaptation. This paper proposes the WGM model, an advanced chromatic adaptation model based on a weighted geometric mean approach that can anticipate incomplete adaptation as it moves along the Planckian or Daylight locus. Compared with two other chromatic adaptation models (CAT16 and vK20), the WGM model shows more accuracy in predicting previous visual data.

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Che Shen, Mark Fairchild, "Weighted Geometric Mean (WGM) Method: A New Chromatic Adaptation Modelin Color and Imaging Conference,  2022,  pp 231 - 235,  https://doi.org/10.2352/CIC.2022.30.1.40

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Color and Imaging Conference
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