Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1524
Title: Feature-preserving multiscale error diffusion for digital halftoning
Authors: Chan, YH 
Cheung, SM
Keywords: Image processing
Digital halftoning
Diffusion methods
Algorithms
Issue Date: Jul-2004
Publisher: SPIE and IS&T
Source: Journal of electronic imaging, July 2004, v. 13, no. 3, p. 639-645 How to cite?
Journal: Journal of electronic imaging 
Abstract: Multiscale error diffusion is superior to conventional error diffusion methods in digital halftoning as it can eliminate directional hysteresis completely. However, there is a bias to favor a particular type of dots in the course of the halftoning process. A new multiscale error diffusion method is proposed to improve the diffusion performance by reducing the aforementioned bias. The proposed method can eliminate the pattern noise in flat regions and the boundary effect found in some other conventional multiscale error diffusion methods. At the same time, it can preserve the local features of the input image in the output. This is critical to quality, especially when the resolution of the output is limited by the physical constraints of the display unit.
URI: http://hdl.handle.net/10397/1524
ISSN: 1017-9909
DOI: 10.1117/1.1758728
Rights: Copyright 2004 Society of Photo-Optical Instrumentation Engineers and IS&T. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
J-JEI-Feature-preserving multiscale error diffusion_04.pdf2.07 MBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

25
Last Week
0
Last month
Citations as of Feb 7, 2016

WEB OF SCIENCETM
Citations

16
Citations as of Feb 6, 2016

Page view(s)

1,836
Checked on Feb 7, 2016

Google ScholarTM
Citations

loading...

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.