Design of Timing Controller of Electronic Paper with Frame Buffer Reduction

Chi Mao Hung*, Shu Cheng Liu, Hsiao Lung Cheng, Pei Lin Tien, Wen Chung Kao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Due to the bistable property of the electronic paper (ePaper), its driving sequence starts from erasing the previous image and then the pixels are driven to the target state according to the next image. The timing controller (TCON) of ePaper typically contains two image buffers to store the previous and the next image data. This paper presents a new TCON for ePaper which contains only an image buffer. Unlike the traditional ePaper TCON, which receives the next image data and stores it in an image buffer inside the TCON, the new TCON continuously receives the data of the next image when the image update period and the image buffer for the next image is eliminated. This new TCON leverages the property of the video decoder which continuously sends out the image data in video rate. The TCON compares the incoming image data with the previous image data to sequentially send out the driving signals. With this new architecture, the required memory buffer could be significantly reduced.

Original languageEnglish
Title of host publication2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages703-704
Number of pages2
ISBN (Electronic)9798350324174
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan
Duration: 2023 Jul 172023 Jul 19

Publication series

Name2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

Conference

Conference2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Country/TerritoryTaiwan
CityPingtung
Period2023/07/172023/07/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation

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