Laser & Optoelectronics Progress, Volume. 58, Issue 5, 0533001(2021)

Color Space Conversion Method of Digital Printing Based on Improved Extreme Learning Machine

Jinkai Yang1,2, Pengfei Li1, Zebin Su1、*, and Junfeng Jing1
Author Affiliations
  • 1College of Electrics and Information, Xi'an Polytechnic University, Xi'an , Shaanxi 710048, China
  • 2Cooperative Innovation Center for Technical Textiles, Xi'an Polytechnic University, Xi'an , Shaanxi 710048,China
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    Figures & Tables(6)
    Extreme learning machine structure
    100 test sample color patches
    Ridge trace maps based on ridge regression and R-ELM color space conversion model. (a) Component C; (b) component M; (c) component Y; (d) component K
    Distribution of color difference
    • Table 1. Comparison of conversion color difference between four color space conversion models

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      Table 1. Comparison of conversion color difference between four color space conversion models

      MethodAverage Max Min
      BPNN8.54222.6131.836
      GRNN2.74713.4660.460
      ELM2.2857.1620.466
      Proposed1.6456.9650.221
    • Table 2. Average training time of models

      View table

      Table 2. Average training time of models

      ModelTraining time /s
      BPNN10.563
      GRNN7.845
      Proposed1.489
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    Jinkai Yang, Pengfei Li, Zebin Su, Junfeng Jing. Color Space Conversion Method of Digital Printing Based on Improved Extreme Learning Machine[J]. Laser & Optoelectronics Progress, 2021, 58(5): 0533001

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    Paper Information

    Category: Vision, Color, and Visual Optics

    Received: May. 26, 2020

    Accepted: Jul. 22, 2020

    Published Online: Apr. 19, 2021

    The Author Email: Zebin Su (szb505@126.com)

    DOI:10.3788/LOP202158.0533001

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