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

10 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

UN SDGs

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

SDG 7 Affordable and Clean Energy

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

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

@inproceedings{0d0a9390c5674ad982be34e4e735fc96,

title = "Fast Video Halftoning for Electronic Papers",

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.",

author = "Kao, \{Wen Chung\} and Ho, \{Ji Lun\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 ; Conference date: 06-07-2022 Through 08-07-2022",

year = "2022",

doi = "10.1109/ICCE-Taiwan55306.2022.9869253",

language = "English",

series = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "595--596",

booktitle = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",

}

TY - GEN

T1 - Fast Video Halftoning for Electronic Papers

AU - Kao, Wen Chung

AU - Ho, Ji Lun

PY - 2022

Y1 - 2022

N2 - 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.

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.

UR - https://www.scopus.com/pages/publications/85138699434

UR - https://www.scopus.com/pages/publications/85138699434#tab=citedBy

U2 - 10.1109/ICCE-Taiwan55306.2022.9869253

DO - 10.1109/ICCE-Taiwan55306.2022.9869253

M3 - Conference contribution

AN - SCOPUS:85138699434

T3 - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

SP - 595

EP - 596

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Y2 - 6 July 2022 through 8 July 2022

ER -

Fast Video Halftoning for Electronic Papers

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this