The CIE 2016 Colour Appearance Model for Colour Management Systems: CIECAM16

CIE 248:2022
Division 1
Division 8
ISBN: 
978-3-902842-94-7
DOI: 
10.25039/TR.248.2022

 

A colour appearance model provides a viewing-condition-specific method for the transformation of the tristimulus values, X, Y, Z, to or from perceptual attribute correlates.
This publication describes a specific colour appearance model, CIECAM16, which may be useful for colour management systems, used in the imaging industries, that involve related colours.

The main applications of the model are the evaluation of photographic prints and self-luminous displays, where the colours will be perceived as related colours.

This model is based on the CAM16 colour appearance model. It consists of a chromatic adaptation transform and equations to calculate a set of perceptual attribute correlates using the CIE 1931 standard colorimetric observer. This report provides revisions to the CIE colour appearance model for colour management systems that involve related colours, CIECAM02. The CIECAM16 model is simpler than the original CIECAM02 model, but it maintains the same prediction performance for visual data as the original model. The evolution and application of this colour appearance model, CIECAM16, are presented, as is additional information about the use of the model in practical applications.

The publication is written in English, with a short summary in French and German. It consists of 38 pages with 6 figures and is readily available from the CIE Webshop or from the National Committees of the CIE.

Authors:

Li, C.J. (Chair), China
Luo, M.R. (Co-Chair), United Kingdom
Brill, M.H., USA
Melgosa, M., Spain
Pointer, M.R., United Kingdom
Teunissen, C., Netherlands
Wei, M.T., Hong Kong


Advisors:

Cui, G.H., China
Fernandez-Maloigne, C., France
Katayama, I, .Japan
Mahy, M., Belgium
Mizokami, Y., Japan
Morovic, J., United Kingdom
Sakai, H., Japan
Sueeprasan, S., Thailand
Park, Y.K., South Korea
Walowit, E, .USA
Xiao, K.D., United Kingdom
Zhang, X.D., China