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Effective E-Paper Driving Waveform Design Based on Dynamic Programming
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AI
DOI：10.1002/jsid.2113.png)
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摘要
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Electrophoretic display (EPD) driving involves controlling the electric field to drive the movement of charged particles in microcapsules, enabling image display and updates. The effectiveness of EPD technology relies on optimized driving waveform design to ensure display clarity and minimize response time. However, despite advancements, existing EPD techniques continue to face critical challenges such as ghost images, flicker, and long response times, all of which can detract from user experience. To address these issues, this paper proposes a novel EPD driving waveform design algorithm that integrates physical simulation and a dynamic programming approach. This algorithm is designed to identify the optimal driving path, thereby significantly reducing response time while effectively minimizing ghost images and flicker. Experimental results demonstrate that the proposed algorithm effectively mitigates ghost images and flicker, achieving shorter response time and higher display quality in 16-level grayscale print-style color EPD.
Keyword:
electrophoretic display (EPD)
driving waveform
dynamic programming
response time