Title
Joint quantisation and error diffusion of colour images using competitive learning Joint quantisation and error diffusion of colour images using competitive learning
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
article
Publication
Stevenage :IEE ,
Subject
Engineering sciences. Technology
Source (journal)
IEE proceedings. Vision, image and signal processing / Institution of Electrical Engineers [London] - Stevenage
Volume/pages
145(1998) :2 , p. 137-140
ISSN
1350-245X
ISI
000073942500010
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
A competitive learning scheme for colour image quantisation is elaborated, in which the dithering process to eliminate contouring effects is embedded in the quantisation process instead of performed a posteriori. Quantisation is performed by clustering in colour space. The dithering process is a simple error diffusion, in which the quantisation error made by one pixel is diffused to its local neighbourhood. An objective function which takes the dithering process into account is optimised by use of a competitive learning approach. In this way, the colour quantisation process is optimally adapted to the dithered image, and the dithering process is optimally adapted to the colour palette. For small colour palettes, this is demonstrated to improve the visual quality of quantised images.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000073942500010&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000073942500010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000073942500010&DestLinkType=CitingArticles&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
Handle