Color quantization by preserving color distribution features

doi:10.1016/S0165-1684(99)00060-2

Full metadata record

DC Field	Value	Language
dc.contributor.author	Lin, WJ	en_US
dc.contributor.author	Lin, JC	en_US
dc.date.accessioned	2014-12-08T15:46:12Z	-
dc.date.available	2014-12-08T15:46:12Z	-
dc.date.issued	1999-10-01	en_US
dc.identifier.issn	0165-1684	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/S0165-1684(99)00060-2	en_US
dc.identifier.uri	http://hdl.handle.net/11536/31070	-
dc.description.abstract	A color quantization method is proposed. The method hierarchically uses a bisection tool that preserves certain color-distribution features. The preserved features are average color, variance in each color dimension, and average color radius. An algorithm is given that includes the histogram simplification procedure, color palette generation, and pixel mapping. Experiments show that the proposed method usually obtains acceptable quantized images with competitive speed. (C) 1999 Elsevier Science B.V. All rights reserved.	en_US
dc.language.iso	en_US	en_US
dc.subject	color quantization	en_US
dc.subject	histogram simplification	en_US
dc.subject	color distribution features preserving	en_US
dc.subject	hierarchical division	en_US
dc.title	Color quantization by preserving color distribution features	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1016/S0165-1684(99)00060-2	en_US
dc.identifier.journal	SIGNAL PROCESSING	en_US
dc.citation.volume	78	en_US
dc.citation.issue	2	en_US
dc.citation.spage	201	en_US
dc.citation.epage	214	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:000082947900007	-
dc.citation.woscount	5	-
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