Paper
9 May 1994 Color image quality prediction models for color hard copy
Toshihiko Inagaki, T. Miyagi, S. Sasahara, T. Matsuzaki, T. Gotoh
Author Affiliations +
Proceedings Volume 2171, Color Hard Copy and Graphic Arts III; (1994) https://doi.org/10.1117/12.175312
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Toshihiko Inagaki, T. Miyagi, S. Sasahara, T. Matsuzaki, and T. Gotoh "Color image quality prediction models for color hard copy", Proc. SPIE 2171, Color Hard Copy and Graphic Arts III, (9 May 1994); https://doi.org/10.1117/12.175312
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Cited by 5 scholarly publications.
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KEYWORDS
Image quality

Solids

Quality measurement

Algorithm development

Colorimetry

Halftones

Modulation transfer functions

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