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Proceedings Paper

Convert a low-cost sensor to a colorimeter using an improved regression method
Author(s): Yifeng Wu
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Paper Abstract

Closed loop color calibration is a process to maintain consistent color reproduction for color printers. To perform closed loop color calibration, a pre-designed color target should be printed, and automatically measured by a color measuring instrument. A low cost sensor has been embedded to the printer to perform the color measurement. A series of sensor calibration and color conversion methods have been developed. The purpose is to get accurate colorimetric measurement from the data measured by the low cost sensor. In order to get high accuracy colorimetric measurement, we need carefully calibrate the sensor, and minimize all possible errors during the color conversion. After comparing several classical color conversion methods, a regression based color conversion method has been selected. The regression is a powerful method to estimate the color conversion functions. But the main difficulty to use this method is to find an appropriate function to describe the relationship between the input and the output data. In this paper, we propose to use 1D pre-linearization tables to improve the linearity between the input sensor measuring data and the output colorimetric data. Using this method, we can increase the accuracy of the regression method, so as to improve the accuracy of the color conversion.

Paper Details

Date Published: 28 January 2008
PDF: 9 pages
Proc. SPIE 6807, Color Imaging XIII: Processing, Hardcopy, and Applications, 68070S (28 January 2008); doi: 10.1117/12.764936
Show Author Affiliations
Yifeng Wu, Hewlett-Packard Co. (United States)


Published in SPIE Proceedings Vol. 6807:
Color Imaging XIII: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Shoji Tominaga, Editor(s)

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