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RWM-cut for color image quantization

dc.citation.epage588en_US
dc.citation.issue4en_US
dc.citation.spage577en_US
dc.citation.volume20en_US
dc.contributor.authorYang, CYen_US
dc.contributor.authorLin, JCen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.date.accessioned2014-12-08T15:02:33Z
dc.date.available2014-12-08T15:02:33Z
dc.date.issued1996-07-01en_US
dc.description.abstractA new simple method for constructing a color palette that uses the radius weighted mean cut (RWM-cut) is proposed. The method is a hierarchically divisive method, and each two-class partition uses the centroid and the RWM only. Experiments show that the RWM-cut algorithm is feasible and visually acceptable. The algorithm can either be used alone or be used to create a good initial palette for the LBG algorithm. Besides the 3-D version, a 1-D version of the RWM-cut algorithm is also included in the paper for realtime color quantization. The quantization error is small and the processing speed is competitive. Dithered images are also provided. Copyright (C) 1996 Elsevier Science Ltden_US
dc.identifier.doi10.1016/0097-8493(96)00028-3en_US
dc.identifier.issn0097-8493en_US
dc.identifier.journalCOMPUTERS & GRAPHICSen_US
dc.identifier.urihttp://dx.doi.org/10.1016/0097-8493(96)00028-3en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/1199
dc.identifier.wosnumberWOS:A1996VP05200011
dc.language.isoen_USen_US
dc.titleRWM-cut for color image quantizationen_US
dc.typeArticle; Proceedings Paperen_US

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