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dc.contributor.authorLin, WJen_US
dc.contributor.authorLin, JCen_US
dc.date.accessioned2014-12-08T15:46:12Z-
dc.date.available2014-12-08T15:46:12Z-
dc.date.issued1999-10-01en_US
dc.identifier.issn0165-1684en_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0165-1684(99)00060-2en_US
dc.identifier.urihttp://hdl.handle.net/11536/31070-
dc.description.abstractA 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.isoen_USen_US
dc.subjectcolor quantizationen_US
dc.subjecthistogram simplificationen_US
dc.subjectcolor distribution features preservingen_US
dc.subjecthierarchical divisionen_US
dc.titleColor quantization by preserving color distribution featuresen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0165-1684(99)00060-2en_US
dc.identifier.journalSIGNAL PROCESSINGen_US
dc.citation.volume78en_US
dc.citation.issue2en_US
dc.citation.spage201en_US
dc.citation.epage214en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000082947900007-
dc.citation.woscount5-
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