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Proceedings Paper

Color image quality prediction models for color hard copy
Author(s): Toshihiko Inagaki; T. Miyagi; S. Sasahara; T. Matsuzaki; T. Gotoh
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Paper Abstract

Color image quality prediction models for two typical documents used as input for color copying machines have been developed to relate subjective image quality ratings to physical image quality metrics using stepwise multiple regression analysis. The typical documents consist of colored map and portrait images. The models were consistent with technical knowledge and achieved high correlation between predicted ratings and measured subjective image quality ratings. By utilizing the models, subjective color image quality can be measured by instrumental measurements, and also color imaging system of preferred image quality can be designed by physical image quality metrics, and this leads to effective image quality design.

Paper Details

Date Published: 9 May 1994
PDF: 8 pages
Proc. SPIE 2171, Color Hard Copy and Graphic Arts III, (9 May 1994); doi: 10.1117/12.175312
Show Author Affiliations
Toshihiko Inagaki, Fuji Xerox Co., Ltd. (Japan)
T. Miyagi, Fuji Xerox Co., Ltd. (Japan)
S. Sasahara, Fuji Xerox Co., Ltd. (Japan)
T. Matsuzaki, Fuji Xerox Co., Ltd. (Japan)
T. Gotoh, Fuji Xerox Co., Ltd. (Japan)


Published in SPIE Proceedings Vol. 2171:
Color Hard Copy and Graphic Arts III
Jan Bares, Editor(s)

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