Ghostbuster: A Software Approach for Reducing Ghosting Effect on Electrophoretic Displays

Tao Hu, Menglong Cui, Mingsong Lv*, Tao Yang, Yiyang Zhou, Qingxu Deng, Chun Jason Xue, Nan Guan

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Electrophoretic displays (EPDs), also known as e-paper, offer a paper-like visual experience by reflecting ambient light, making them distinct from traditional LCD or LED displays. They are favored for their eye comfort, energy efficiency, and material flexibility, which make them appealing for a wide range of embedded devices, including eReaders, smartphones, tablets, and wearables. However, EPDs face a significant challenge: the necessity for a fast refresh rate (to maintain an acceptable display performance) introduces a pronounced ghosting effect. This effect results in noticeable color discrepancies between the displayed and source images, harming the user experience and hindering EPDs' broader application in devices requiring dynamic content display. This article proposes a software-based solution to address the ghosting issue in EPDs. Our approach involves developing analytical models to predict the occurrence of ghosting effects and adjusting the source images to counteract the anticipated color deviations, which can reduce the perceivable ghosts on the display. Experimental evaluation conducted on real-world EPDs validates the effectiveness of our proposed approach in reducing the ghosting effect. © 2024 IEEE.
Original languageEnglish
Pages (from-to)3780-3791
JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Volume43
Issue number11
Online published6 Nov 2024
DOIs
Publication statusPublished - Nov 2024

Funding

This work was supported in part by the Huawei Innovation Research Program “Energy-Efficiency Aware Collaborative Computing for Heterogeneous OS Platforms”; in part by the Hong Kong GRF under Grant 15206221, Grant 11209122, and Grant 11208522; and in part by the National Natural Science Foundation of China under Grant 61772123 and Grant 62072085. This article was presented at the International Conference on Embedded Software (EMSOFT) 2024 and appeared as part of the ESWEEK-TCAD special issue.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • E ink
  • electrophoretic display
  • embedded software
  • ghosting effect reduction

RGC Funding Information

  • RGC-funded

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