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Proceedings Paper

Color preference and perceived color naturalness of digital videos
Author(s): Chin Chye Koh; John M. Foley; Sanjit K. Mitra
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Paper Abstract

In this study, we examined the subjective attributes of color preference and perceived naturalness of digital videos when the chroma of the color content was varied. More specifically, the objectives were: (1) to determine how the scaling of color chroma affected the mean color preference rating and the mean naturalness rating across subjects and (2) to determine how preference and naturalness were related. To this end, psychophysical experiments were carried out in which naive subjects provided us with their subjective assessments of these two attributes. Data from the experiments indicated that for both preference and naturalness, the mean opinion scores (MOS) increased to a maximum and decreased as the mean chroma (MC) of the videos was varied. Naturalness MOS (NMOS) tended to reach a maximum at lower MC than preference MOS (PMOS). The maximums for both PMOS and NMOS occurred at relatively close MC levels for most of the videos. The individual functions relating MOS to chroma were modeled by simple Gaussian functions relatively well. However, the mean, amplitude and standard deviation varied with video. It was possible to reduce the total number of parameters from 36 to 15 parameters by making use of relationships between the model parameters. In this model the chroma corresponding to maximum preference is about 1.1 times the chroma corresponding to maximum naturalness.

Paper Details

Date Published: 9 February 2006
PDF: 11 pages
Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570Q (9 February 2006);
Show Author Affiliations
Chin Chye Koh, Univ. of California, Santa Barbara (United States)
John M. Foley, Univ. of California, Santa Barbara (United States)
Sanjit K. Mitra, Univ. of California, Santa Barbara (United States)

Published in SPIE Proceedings Vol. 6057:
Human Vision and Electronic Imaging XI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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