Fast Video Halftoning for Electronic Papers

Wen Chung Kao; Ji Lun Ho

doi:10.1109/ICCE-Taiwan55306.2022.9869253

Fast Video Halftoning for Electronic Papers

Wen Chung Kao, Ji Lun Ho

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

This paper presents a video halftoning for electronic papers. Based on the direct binary search (DBS) algorithm, the video frames are halftoned in order. The proposed approach tends to minimize the flickers on the stationary regions by referring to the previous frame and processing the pixels in pseudo random ordering. The main feature of the proposed approach is that the frame can be gotten with an acceptable result in one iteration. The experimental results show the proposed approach significantly improves the video quality compared with the error diffusion based and the original DBS.

Original language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	595-596
Number of pages	2
ISBN (Electronic)	9781665470506
DOIs	https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869253
Publication status	Published - 2022
Event	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan Duration: 2022 Jul 6 → 2022 Jul 8

Publication series

Name	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Conference

Conference	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Country/Territory	Taiwan
City	Taipei
Period	2022/07/06 → 2022/07/08

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Hardware and Architecture
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Media Technology
Health Informatics
Instrumentation

UN SDGs

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

Access to Document

10.1109/ICCE-Taiwan55306.2022.9869253

Cite this

Kao, W. C., & Ho, J. L. (2022). Fast Video Halftoning for Electronic Papers. In Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 (pp. 595-596). (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869253

Fast Video Halftoning for Electronic Papers. / Kao, Wen Chung; Ho, Ji Lun.
Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 595-596 (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kao, WC & Ho, JL 2022, Fast Video Halftoning for Electronic Papers. in Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Institute of Electrical and Electronics Engineers Inc., pp. 595-596, 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Taipei, Taiwan, 2022/07/06. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869253

Kao WC, Ho JL. Fast Video Halftoning for Electronic Papers. In Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 595-596. (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). doi: 10.1109/ICCE-Taiwan55306.2022.9869253

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AB - This paper presents a video halftoning for electronic papers. Based on the direct binary search (DBS) algorithm, the video frames are halftoned in order. The proposed approach tends to minimize the flickers on the stationary regions by referring to the previous frame and processing the pixels in pseudo random ordering. The main feature of the proposed approach is that the frame can be gotten with an acceptable result in one iteration. The experimental results show the proposed approach significantly improves the video quality compared with the error diffusion based and the original DBS.

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Fast Video Halftoning for Electronic Papers

Abstract

Publication series

Conference

ASJC Scopus subject areas

UN SDGs

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