Imaging Components, Systems, and Processing

Utilizing typical color appearance models to represent perceptual brightness and colorfulness for digital images

[+] Author Affiliations
Rui Gong, Xiaopeng Shao

Xidian University, School of Physics and Optoelectronic Engineering, No. 2, Taibai South Road, Xi’an 710071, China

Qing Wang

Qilu University of Technology, School of Graphic Communication and Packaging Engineering, No. 3501, University Road, Jinan 250353, China

Conghao Zhou

Northeastern University, College of Computer Science and Engineering, No. 11, Lane 3, Culture Road, Shenyang 110004, China

Opt. Eng. 55(12), 123107 (Dec 20, 2016). doi:10.1117/1.OE.55.12.123107
History: Received July 12, 2016; Accepted November 8, 2016
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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.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Rui Gong ; Qing Wang ; Xiaopeng Shao and Conghao Zhou
"Utilizing typical color appearance models to represent perceptual brightness and colorfulness for digital images", Opt. Eng. 55(12), 123107 (Dec 20, 2016). ; http://dx.doi.org/10.1117/1.OE.55.12.123107


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