Opto-Electronic Engineering, Volume. 52, Issue 2, 240226-1(2025)

Color correction of electrowetting electronic paper based on color space transformation

Wenjie Mao1,2, Shanling Lin1,2, Jianpu Lin1,2, Ting Mei1,2, Tingyu Wang1,2, Bipeng Cai1,2, Jianhao Zhang1,2, and Zhixian Lin1,2、*
Author Affiliations
  • 1School of Advanced Manufacturing, Fuzhou University, Quanzhou, Fujian 362252, China
  • 2Fujian Science and Technology Innovation Laboratory for Photoelectric Information , Fuzhou, Fujian 350116, China
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    Figures & Tables(13)
    Overall flow chart
    S-channel processing flow
    Reflection principle of Retinex algorithm on electrowetting display
    V-channel processing flow
    Color chart shooting environment diagram and actual environment
    Compares the image effects before and after processing by different algorithms. (a) Original RGB image; (b) MEMBHE algorithm; (c) MMBEBHE algorithm; (d) FHRPHS algorithm; (e) Ours
    Comparison of image effects before and after different ablation experiments. (a) RGB original image; (b) Directly mapped CMY image; (c) V-channel processed image only; (d) S-channel processed image only; (e) Ours
    Experimental environment
    Comparison of the display effect on the color electrowetting display. (a) Original image; (b) Image processed by the proposed algorithm; (c) Local magnification of the original image; (d) Local magnification of the processed image
    • Table 1. Z-scores for different display renderings

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      Table 1. Z-scores for different display renderings

      ImagesZ-scores
      BeforeAfter
      Image 1−0.530.53
      Image 2−0.720.72
      Image 3−1.741.74
      Image 4−0.840.84
      Image 5−0.360.36
      Image 6−0.510.51
    • Table 2. χ2 test results of visual information from different images

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      Table 2. χ2 test results of visual information from different images

      χ2 test resultsImage 1Image 2Image 3Image 4Image 5Image 6
      HB1.15790.78690.03820.95420.14280.6567
      MB0.18910.04290.33230.22420.59800.1663
      LB1.16471.01900.05540.58771.15170.1792
      HS1.14861.12080.11660.53470.40850.3090
      MS0.58250.81450.98810.77560.70231.0089
      LS0.96030.90930.83380.85120.26860.3051
      HC0.17030.89180.38050.90560.90150.9771
      MC0.50610.47071.14030.33120.30610.2922
      LC1.09890.78660.04130.81560.60711.1151
      OR0.95060.20540.52650.78610.83890.4200
      PR1.15140.84730.45790.19511.06910.2359
    • Table 3. H, CE, PSNR, SSIM, FSIM, and FSIMc values of images processed by different algorithms

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      Table 3. H, CE, PSNR, SSIM, FSIM, and FSIMc values of images processed by different algorithms

      AlgorithmHCEPSNRSSIMFSIMFSIMc
      Original1.7981——————————
      MEMBHE1.960712.255460.15290.49970.79080.7896
      MMBEBHE1.900416.965059.91300.48670.79030.7890
      FHRPHS2.39870.700059.24330.75590.70550.7027
      Ours2.49780.116170.50470.83780.84090.8400
    • Table 4. Comparison of system resource consumption

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      Table 4. Comparison of system resource consumption

      LUTLUTRAMFFBRAMDSPBUFG
      Software to HLS2086501278712954943771
      Hardware57252114424372932192
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    Wenjie Mao, Shanling Lin, Jianpu Lin, Ting Mei, Tingyu Wang, Bipeng Cai, Jianhao Zhang, Zhixian Lin. Color correction of electrowetting electronic paper based on color space transformation[J]. Opto-Electronic Engineering, 2025, 52(2): 240226-1

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    Paper Information

    Category: Article

    Received: Sep. 24, 2024

    Accepted: Jan. 6, 2025

    Published Online: Apr. 27, 2025

    The Author Email:

    DOI:10.12086/oee.2025.240226

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