DocumentCode
350894
Title
Colorimetric characterization for digital camera by using multiple regression
Author
Yoon, Chang-Rak ; Cho, Maeng-Sub
Author_Institution
VR R&D Centre, ETRI, Taejon, South Korea
Volume
1
fYear
1999
fDate
1999
Firstpage
585
Abstract
Digital cameras provide a very useful way of capturing images for use in image processing and color communications. Many of techniques have developed to obtain high-quality color digital images. But the RGB signals generated by digital cameras are device dependent and not colorimetric. We have extracted the device independent characteristics of digital cameras and made transfer matrices to transform the RGB color signals into the CIE XYZ tristimulus values. The least square fitting technique was used to derive the coefficients of 3×m polynomial transfer matrices. We have investigated the degree of the polynomial and the number of color samples which produce the best result. The parameters affecting the characterization were also described
Keywords
cameras; colorimetry; image colour analysis; image processing; image sampling; least squares approximations; polynomial matrices; statistical analysis; CIE XYZ tristimulus values; CIE standard colorimetric measurements; RGB color signals; RGB signals; color communications; color samples; colorimetric characterization; device independent characteristics; digital camera; high-quality color digital images; image capture; image processing; least square fitting technique; modeling accuracy; multiple regression; polynomial transfer matrices; transfer matrix coefficients; Application software; Color; Digital cameras; Digital images; Equations; Image processing; Layout; Page description languages; Polynomials; Signal generators;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location
Cheju Island
Print_ISBN
0-7803-5739-6
Type
conf
DOI
10.1109/TENCON.1999.818482
Filename
818482
Link To Document