IMAGE REQUANTIZATION BY CARDINALITY DISTRIBUTION

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DC Field	Value	Language
dc.contributor.author	HSUEH, YC	en_US
dc.contributor.author	CHERN, MG	en_US
dc.contributor.author	CHU, CH	en_US
dc.date.accessioned	2014-12-08T15:05:23Z	-
dc.date.available	2014-12-08T15:05:23Z	-
dc.date.issued	1991	en_US
dc.identifier.issn	0097-8493	en_US
dc.identifier.uri	http://hdl.handle.net/11536/3912	-
dc.description.abstract	This article presents a new approach to image requantization, called cardinality distribution. The new method introduces dithering patterns as ordered dither does; however, it provides a smoothing parameter p between 0 and 1. When p is chosen to be near 0.5, the new method can capture very sharp details of images. Therefore, the major deficiency of ordered dither can be avoided. Moreover, the reordering technique and its modified version are used to code bilevel and higher gray-level requantized images, respectively.	en_US
dc.language.iso	en_US	en_US
dc.title	IMAGE REQUANTIZATION BY CARDINALITY DISTRIBUTION	en_US
dc.type	Article	en_US
dc.identifier.journal	COMPUTERS & GRAPHICS	en_US
dc.citation.volume	15	en_US
dc.citation.issue	3	en_US
dc.citation.spage	397	en_US
dc.citation.epage	405	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:A1991GG88600010	-
dc.citation.woscount	10	-
Appears in Collections:	Articles