Highly consistent image compensation method based on a time-sharing longitudinal and transverse oscillation driving waveform for electrophoretic video display

Electrophoretic displays (EPDs) are developed as an emerging display technology due to the advantages of bistable and reflective properties. However, the particles inside the EPD cannot be driven to the target position due to complex forces during the EPD video display, resulting in low consistency of the video image and the appearance of ghost images. To improve that, we proposed a highly consistent image compensation method based on a time-sharing longitudinal and transverse oscillation (TSLTO) driving waveform for EPD video display, which contained a multi-frame pulse width modulation (MFPWM) driving waveform. To compensate for the grayscale ghost image, the average values of SSIM and PSNR had improved by 6.13% and 2.64% respectively by the MFPWM driving waveform compared with the traditional driving waveform. To compensate for the boundary ghost image, the image contrast of the boundary pixel grayscale values had decreased by 33.34% by the TSLTO driving waveform, which meant that the grayscale values on both sides of the boundary were more consistent. According to our method, the video display quality and consistency of EPD video playback have been effectively improved, which can help EPDs to be better applied in the field of high refresh rate and high-quality video display.

Authors

Publication Details

Journal
Optics Express
Published
2024-08-13
DOI
https://doi.org/10.1364/oe.536469
Citations
5
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
1.60

Funders

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article

Highly consistent image compensation method based on a time-sharing longitudinal and transverse oscillation driving waveform for electrophoretic video display

pengfei Bai, Shixiao Li, Guofu Zhou, Bo Xiao et al.
5 citations
Optics Express
Advanced Optical Imaging Technologies
1.60
article

Highly consistent image compensation method based on a time-sharing longitudinal and transverse oscillation driving waveform for electrophoretic video display

pengfei Bai, Shixiao Li, Guofu Zhou, Bo Xiao, Ziyang Wang, Jianwen Chen, Ruisi Gao, Heng Zhang
article en
5 citations

Abstract

Electrophoretic displays (EPDs) are developed as an emerging display technology due to the advantages of bistable and reflective properties. However, the particles inside the EPD cannot be driven to the target position due to complex forces during the EPD video display, resulting in low consistency of the video image and the appearance of ghost images. To improve that, we proposed a highly consistent image compensation method based on a time-sharing longitudinal and transverse oscillation (TSLTO) driving waveform for EPD video display, which contained a multi-frame pulse width modulation (MFPWM) driving waveform. To compensate for the grayscale ghost image, the average values of SSIM and PSNR had improved by 6.13% and 2.64% respectively by the MFPWM driving waveform compared with the traditional driving waveform. To compensate for the boundary ghost image, the image contrast of the boundary pixel grayscale values had decreased by 33.34% by the TSLTO driving waveform, which meant that the grayscale values on both sides of the boundary were more consistent. According to our method, the video display quality and consistency of EPD video playback have been effectively improved, which can help EPDs to be better applied in the field of high refresh rate and high-quality video display.

Optics ExpressVol. 32(19)
Higher Education Discipline Innovation Project, Key Laboratory of Luminescence and Optical Information, Program for Changjiang Scholars and Innovative Research Team in University
Openalex Percentile: Top 15%
Advanced Optical Imaging Technologies
1.60
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Highly consistent image compensation method based on a time-sharing longitudinal and transverse oscillation driving waveform for electrophoretic video display — pengfei Bai, Shixiao Li, et al. · Optics Express (2024) | TGRS Research Map | TGRS