Acta Photonica Sinica, Volume. 53, Issue 8, 0811002(2024)

Research on Gamma Correction of Field-stacked Silicon-based OLED Micro-displays Based on Genetic Algorithm

Baoliang CHEN1... Yuan JI1,2,*, Xinjie HUANG3 and Junkai LIU3 |Show fewer author(s)
Author Affiliations
  • 1Microelectronics Research and Development Center,Shanghai University,Shanghai 200444,China
  • 2School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444,China
  • 3LUMICORE(shanghai) Co., Ltd.,Shanghai 200072,China
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    Figures & Tables(20)
    Principle of field-stacked drive
    MOSFET-driven OLED equivalent circuit
    I-T curve of field opening and closing process
    Actual measured grayscale curve and ideal grayscale curve
    Flowchart for non-ideal OLED brightness model based on field-stacked drive
    Genetic algorithm optimization process
    Genetic algorithm optimized simulated grayscale curve
    Gamma correction process
    Hardware testing platform
    Experimentally optimized grayscale curve
    Actual Gamma 2.2 curve and ideal Gamma 2.2 curve
    Comparison of Digital-Driven and Analog-Driven Low Grayscale Curves
    • Table 1. lv1 curve fitting results

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      Table 1. lv1 curve fitting results

      ResultQuantity of dataABCRoot mean square deviation
      151.041×10-33.604×10-3-4.061×10-33.01×10-4
      2101.169×10-35.190×10-36.96×10-42.61×10-4
      3151.068×10-33.893×10-3-3.326×10-32.4×10-4
    • Table 2. lv2 curve fitting results

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      Table 2. lv2 curve fitting results

      ResultQuantity of dataABCDEFRoot mean square deviation
      13 8704.008×10-12.692×1013.339×103-5.732×1023.704×1034.157×10-11.67
      27 740-3.002×10-1-9.9764.683×103-9.081×1022.921×103-6.395×10-11.65
      338 7002.316×1016.137×1016.668×103-1.215×10-35.812×1038.159×10-21.63
    • Table 3. Results of genetic algorithm with root mean squared error as the sole objective

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      Table 3. Results of genetic algorithm with root mean squared error as the sole objective

      Population sizeNumber of iterationsRoot mean square deviation/(cd·m-2Number of invalid gray levels
      205001.697 556
      505000.88 762
      501 0000.6169 744
    • Table 4. Results of genetic algorithm with invalid gray levels as the sole objective

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      Table 4. Results of genetic algorithm with invalid gray levels as the sole objective

      Population sizeNumber of iterationsRoot mean square deviation/(cd·m-2Number of invalid gray levels
      2050035.163
      5050040.34
      501 00037.70
    • Table 5. Results of genetic algorithm root mean squared error and number of invalid gray levels as dual objectives

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      Table 5. Results of genetic algorithm root mean squared error and number of invalid gray levels as dual objectives

      NumberRoot mean square deviation/(cd·m-2Number of invalid gray levels
      115.954.00
      26.1268.00
      33.29713.00
      42.971 956.00
      51.272 936.00
      61.054 324.00
      70.984 425.00
    • Table 7. Field sequence and Vcom voltage configuration

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      Table 7. Field sequence and Vcom voltage configuration

      Sequence12345678910111213141516171819202122232425
      Field sequence number13310212022118725161451561917211124248923
      Vcom number4214441414442414424414114
    • Table 8. Subfield weight

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      Table 8. Subfield weight

      Subfield number12345678910
      Field sequence number13121838711503186791 430
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    Baoliang CHEN, Yuan JI, Xinjie HUANG, Junkai LIU. Research on Gamma Correction of Field-stacked Silicon-based OLED Micro-displays Based on Genetic Algorithm[J]. Acta Photonica Sinica, 2024, 53(8): 0811002

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    Paper Information

    Category:

    Received: Jan. 25, 2024

    Accepted: Mar. 15, 2024

    Published Online: Oct. 15, 2024

    The Author Email: JI Yuan (jiyuan@shu.edu.cn)

    DOI:10.3788/gzxb20245308.0811002

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