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Optical Engineering

Utilizing typical color appearance models to represent perceptual brightness and colorfulness for digital images
Author(s): Rui Gong; Qing Wang; Xiaopeng Shao; Conghao Zhou
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Paper Abstract

This study aims to expand the applications of color appearance models to representing the perceptual attributes for digital images, which supplies more accurate methods for predicting image brightness and image colorfulness. Two typical models, i.e., the CIELAB model and the CIECAM02, were involved in developing algorithms to predict brightness and colorfulness for various images, in which three methods were designed to handle pixels of different color contents. Moreover, massive visual data were collected from psychophysical experiments on two mobile displays under three lighting conditions to analyze the characteristics of visual perception on these two attributes and to test the prediction accuracy of each algorithm. Afterward, detailed analyses revealed that image brightness and image colorfulness were predicted well by calculating the CIECAM02 parameters of lightness and chroma; thus, the suitable methods for dealing with different color pixels were determined for image brightness and image colorfulness, respectively. This study supplies an example of enlarging color appearance models to describe image perception.

Paper Details

Date Published: 20 December 2016
PDF: 8 pages
Opt. Eng. 55(12) 123107 doi: 10.1117/1.OE.55.12.123107
Published in: Optical Engineering Volume 55, Issue 12
Show Author Affiliations
Rui Gong, Xidian Univ. (China)
Qing Wang, Qilu Univ. of Technology (China)
Xiaopeng Shao, Xidian Univ. (China)
Conghao Zhou, Northeastern Univ. (China)


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