Back to articles
Regular Article
Volume: 30 | Article ID: 40
Image
Weighted Geometric Mean (WGM) Method: A New Chromatic Adaptation Model
Che Shen
  Che Shen
Affiliation
Rochester Institute of Technology, US
 Find this author on Google Scholar
 Find this author on PubMed
Mark Fairchild
  Mark Fairchild
Affiliation
Rochester Institute of Technology, US
 Find this author on Google Scholar
 Find this author on PubMed
  DOI :  10.2352/CIC.2022.30.1.40  Published Online :  November 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.

Journal Title : Color and Imaging Conference
Publisher Name : Society for Imaging Science and Technology
Publisher Location : IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
Views 22
Downloads 10
 DOI 10.2352/CIC.2022.30.1.40
 articleview.views 22
 articleview.downloads 10
  Cite this article 

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

 Copy citation
  Copyright statement 
Copyright ©2022 Society for Imaging Science and Technology 2022
cic
Color and Imaging Conference
color imaging conf
2166-9635
2166-9635
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/CIC.2022.30.1.40
40
Regular Article
Weighted Geometric Mean (WGM) Method: A New Chromatic Adaptation Model
ShenChe
Rochester Institute of Technology, US
FairchildMark
Rochester Institute of Technology, US
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.
15112022
30
30th Color and Imaging Conference
1
231
235
©2022 Society for Imaging Science and Technology
2022
Chromatic adaptationgeometric mean