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

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  • Bangyong Sun
  • Han Liu
  • Shisheng Zhou
  • Wenli Li

Abstract

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.

Suggested Citation

  • Bangyong Sun & Han Liu & Shisheng Zhou & Wenli Li, 2014. "Evaluating the Performance of Polynomial Regression Method with Different Parameters during Color Characterization," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, July.
    • Handle: RePEc:hin:jnlmpe:418651
    DOI: 10.1155/2014/418651
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    Cited by:

    1. Krzysztof Tomczyk & Tomasz Makowski & Małgorzata Kowalczyk & Ksenia Ostrowska & Piotr Beńko, 2021. "Procedure for the Accurate Modelling of Ring Induction Motors," Energies, MDPI, vol. 14(17), pages 1-13, September.
    2. Krzysztof Tomczyk & Piotr Beńko, 2022. "Analysis of the Upper Bound of Dynamic Error Obtained during Temperature Measurements," Energies, MDPI, vol. 15(19), pages 1-13, October.

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