Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization

The polynomial regression method is employed to calculate the relationship of device color space and CIE color space for color characterization, and the performance of different expressions with specific parameters is evaluated. Firstly, the polynomial equation for color conversion is established an...

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Main Authors:	Bangyong Sun, Han Liu, Shisheng Zhou, Wenli Li
Format:	Article
Language:	English
Published:	Hindawi Limited 2014-01-01
Series:	Mathematical Problems in Engineering
Online Access:	http://dx.doi.org/10.1155/2014/418651

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spelling	doaj-06c2faaa22f74ac19b04e1794f8ebf9f2020-11-24T23:29:26ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/418651418651Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color CharacterizationBangyong Sun0Han Liu1Shisheng Zhou2Wenli Li3School of Printing and Packing, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Printing and Packing, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Printing and Packing, Xi’an University of Technology, Xi’an 710048, ChinaThe polynomial regression method is employed to calculate the relationship of device color space and CIE color space for color characterization, and the performance of different expressions with specific parameters is evaluated. Firstly, the polynomial equation for color conversion is established and the computation of polynomial coefficients is analysed. And then different forms of polynomial equations are used to calculate the RGB and CMYK’s CIE color values, while the corresponding color errors are compared. At last, an optimal polynomial expression is obtained by analysing several related parameters during color conversion, including polynomial numbers, the degree of polynomial terms, the selection of CIE visual spaces, and the linearization.http://dx.doi.org/10.1155/2014/418651
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Bangyong Sun Han Liu Shisheng Zhou Wenli Li
spellingShingle	Bangyong Sun Han Liu Shisheng Zhou Wenli Li Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization Mathematical Problems in Engineering
author_facet	Bangyong Sun Han Liu Shisheng Zhou Wenli Li
author_sort	Bangyong Sun
title	Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization
title_short	Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization
title_full	Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization
title_fullStr	Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization
title_full_unstemmed	Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization
title_sort	evaluating the performance of polynomial regression method with different parameters during color characterization
publisher	Hindawi Limited
series	Mathematical Problems in Engineering
issn	1024-123X 1563-5147
publishDate	2014-01-01
description	The polynomial regression method is employed to calculate the relationship of device color space and CIE color space for color characterization, and the performance of different expressions with specific parameters is evaluated. Firstly, the polynomial equation for color conversion is established and the computation of polynomial coefficients is analysed. And then different forms of polynomial equations are used to calculate the RGB and CMYK’s CIE color values, while the corresponding color errors are compared. At last, an optimal polynomial expression is obtained by analysing several related parameters during color conversion, including polynomial numbers, the degree of polynomial terms, the selection of CIE visual spaces, and the linearization.
url	http://dx.doi.org/10.1155/2014/418651
work_keys_str_mv	AT bangyongsun evaluatingtheperformanceofpolynomialregressionmethodwithdifferentparametersduringcolorcharacterization AT hanliu evaluatingtheperformanceofpolynomialregressionmethodwithdifferentparametersduringcolorcharacterization AT shishengzhou evaluatingtheperformanceofpolynomialregressionmethodwithdifferentparametersduringcolorcharacterization AT wenlili evaluatingtheperformanceofpolynomialregressionmethodwithdifferentparametersduringcolorcharacterization
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Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization

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