Acta Photonica Sinica, Volume. 50, Issue 9, 0911002(2021)

Dynamic False Contour Quantification and Improvement Strategy of Digital Driven OLED

Yuan JI1,2, Kaiwen ZHANG1、*, Wendong CHEN2, Tingzhou MU2, and Shuping GONG1
Author Affiliations
  • 1Microelectronics Research and Development Center, Shanghai University, Shanghai200444, China
  • 2School of Mechatronic Engineering and Automation, Shanghai University, Shanghai00444, China
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    Aiming at dynamic false contour phenomenon may appear when digital driven OLED displays moving pictures, which affects the viewing quality of human eyes, the machanism of dynamic false contour generation is analyzed, and the visual characteristics of the human eye are considered. Just noticeable distortion integral method is proposed to quantify the dynamic false contour generated by different scanning strategies, the reliability of the evaluation method is verified through experiments. The linear pulse width modulation method and the fractal scanning method are combined, the partial fractal scanning strategy is proposed to improve the dynamic false contour phenomenon. When the data bits of the linear pulse width modulation method and the fractal scanning method are both 4 bit, the system verification of field programmable gate array is performed on a silicon-based organic light-emitting diodes microdisplay with a resolution of 1 280×1 024, and the dynamic contour phenmenon may not be perceived by the human eye. Just noticeable distortion integral method is used to evaluate the partial fractal scanning algorithm, compared with the traditional 19 subfields and fractal scanning, the average value of dynamic false contour quantization between any two gray levels is reduced by about 87.86% and 86.51%.

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    Yuan JI, Kaiwen ZHANG, Wendong CHEN, Tingzhou MU, Shuping GONG. Dynamic False Contour Quantification and Improvement Strategy of Digital Driven OLED[J]. Acta Photonica Sinica, 2021, 50(9): 0911002

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    Paper Information

    Category: Imaging Systems

    Received: Apr. 9, 2021

    Accepted: Jul. 9, 2021

    Published Online: Oct. 22, 2021

    The Author Email: ZHANG Kaiwen (kkevin_zhang@163.com)

    DOI:10.3788/gzxb20215009.0911002

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