Edge-adaptive error diffusion using chaotic threshold modulation

Chung Yen Su; You Lin Sie

doi:10.1109/MWSCAS.2009.5235994

Edge-adaptive error diffusion using chaotic threshold modulation

Chung Yen Su^*, You Lin Sie

^*Corresponding author for this work

Department of Electrical Engineering

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

1 Citation (Scopus)

Abstract

In this paper, we present an effective edge-adaptive error diffusion approach and apply it to electrophoretic display. Unlike traditional error diffusion algorithms that use the fixed threshold, the new algorithm uses chaotic threshold modulation to remove the visual artifacts. To speed up the execution of edge detection, we further propose the gradient-based edge detection instead of the commonly used Sobel edge detection. Experimental results show that the proposed algorithm achieves more satisfying performance over existing error diffusion algorithms for a certain class of images.

Original language	English
Title of host publication	2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
Pages	718-721
Number of pages	4
DOIs	https://doi.org/10.1109/MWSCAS.2009.5235994
Publication status	Published - 2009
Event	2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09 - Cancun, Mexico Duration: 2009 Aug 2 → 2009 Aug 5

Publication series

Name	Midwest Symposium on Circuits and Systems
ISSN (Print)	1548-3746

Other

Other	2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
Country/Territory	Mexico
City	Cancun
Period	2009/08/02 → 2009/08/05

Keywords

Digital image processing
Dithering
Edge detection
Error diffusion
Halftoning

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Access to Document

10.1109/MWSCAS.2009.5235994

Cite this

Su, CY & Sie, YL 2009, Edge-adaptive error diffusion using chaotic threshold modulation. in 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09., 5235994, Midwest Symposium on Circuits and Systems, pp. 718-721, 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09, Cancun, Mexico, 2009/08/02. https://doi.org/10.1109/MWSCAS.2009.5235994

@inproceedings{2b269b69191d4d4590ccac16b03780f5,

title = "Edge-adaptive error diffusion using chaotic threshold modulation",

abstract = "In this paper, we present an effective edge-adaptive error diffusion approach and apply it to electrophoretic display. Unlike traditional error diffusion algorithms that use the fixed threshold, the new algorithm uses chaotic threshold modulation to remove the visual artifacts. To speed up the execution of edge detection, we further propose the gradient-based edge detection instead of the commonly used Sobel edge detection. Experimental results show that the proposed algorithm achieves more satisfying performance over existing error diffusion algorithms for a certain class of images.",

keywords = "Digital image processing, Dithering, Edge detection, Error diffusion, Halftoning",

author = "Su, {Chung Yen} and Sie, {You Lin}",

year = "2009",

doi = "10.1109/MWSCAS.2009.5235994",

language = "English",

isbn = "9781424444793",

series = "Midwest Symposium on Circuits and Systems",

pages = "718--721",

booktitle = "2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09",

note = "2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09 ; Conference date: 02-08-2009 Through 05-08-2009",

}

TY - GEN

T1 - Edge-adaptive error diffusion using chaotic threshold modulation

AU - Su, Chung Yen

AU - Sie, You Lin

PY - 2009

Y1 - 2009

N2 - In this paper, we present an effective edge-adaptive error diffusion approach and apply it to electrophoretic display. Unlike traditional error diffusion algorithms that use the fixed threshold, the new algorithm uses chaotic threshold modulation to remove the visual artifacts. To speed up the execution of edge detection, we further propose the gradient-based edge detection instead of the commonly used Sobel edge detection. Experimental results show that the proposed algorithm achieves more satisfying performance over existing error diffusion algorithms for a certain class of images.

AB - In this paper, we present an effective edge-adaptive error diffusion approach and apply it to electrophoretic display. Unlike traditional error diffusion algorithms that use the fixed threshold, the new algorithm uses chaotic threshold modulation to remove the visual artifacts. To speed up the execution of edge detection, we further propose the gradient-based edge detection instead of the commonly used Sobel edge detection. Experimental results show that the proposed algorithm achieves more satisfying performance over existing error diffusion algorithms for a certain class of images.

KW - Digital image processing

KW - Dithering

KW - Edge detection

KW - Error diffusion

KW - Halftoning

UR - http://www.scopus.com/inward/record.url?scp=77950658263&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77950658263&partnerID=8YFLogxK

U2 - 10.1109/MWSCAS.2009.5235994

DO - 10.1109/MWSCAS.2009.5235994

M3 - Conference contribution

AN - SCOPUS:77950658263

SN - 9781424444793

T3 - Midwest Symposium on Circuits and Systems

SP - 718

EP - 721

BT - 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09

T2 - 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09

Y2 - 2 August 2009 through 5 August 2009

ER -

Edge-adaptive error diffusion using chaotic threshold modulation

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this