High-Performance Multi-Level Grayscale Conversion by Driving Waveform Optimization in Electrowetting Displays
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Published:2024-01-16
Issue:1
Volume:15
Page:137
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ISSN:2072-666X
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Container-title:Micromachines
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language:en
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Short-container-title:Micromachines
Author:
Xu Wanzhen12, Yi Zichuan1ORCID, Jiang Mouhua12, Wang Jiashuai1, Long Zhengxing13, Liu Liming1, Chi Feng1, Wang Li4, Wan Qiming4
Affiliation:
1. School of Electronic Information, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528402, China 2. South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China 3. School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China 4. School of Information Engineering, Zhongshan Polytechnic, Zhongshan 528400, China
Abstract
As a new type of reflective display, electrowetting display (EWD) has excellent dynamic display performance, which is based on polymer coatings. However, there are still some issues which can limit its performance, such as oil backflow and the hysteresis effect which reduces the stability and response speed of EWDs. Therefore, an effective driving waveform was proposed to overcome these drawbacks, which consisted of grayscale conversions between low gray levels and high gray levels. In the driving waveform, to stabilize the EWD at any initial grayscale (low gray levels/high gray levels), an exponential function waveform and an AC signal were used. Then, the grayscale conversion was performed by using an AC signal with a switching voltage to quickly achieve the target grayscale. Finally, another AC signal was used to stabilize the EWD at the target grayscale. A set of driving waveforms in grayscale ranging across four levels was designed using this method. According to the experimental results, oil backflow and the hysteresis effect could be effectively attenuated by the proposed driving waveforms. During conversion, the response speed of EWDs was boosted by at least 9.37% compared to traditional driving waveforms.
Funder
the National Natural Science Foundation of China the Special Project in Key Fields of Regular Universities in Guangdong Province the Engineering Technology Center of Regular Universities in Guangdong Province the Innovation Team of Regular Universities in Guangdong Province the Key Laboratory of Regular Universities in Guangdong Province the Education Planning Leadership Group Teaching and Research Project in Guangdong Province the Education and Research Projects in Zhongshan City the Research and Practice Project on Teaching Reform in Higher Vocational Education in Guangdong Province
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