A Vector Signal Processing Approach to Color

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7041

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DC Field	Value	Language
dc.creator	Sung, Kah-Kay	-
dc.date	2004-10-20T20:23:27Z	-
dc.date	2004-10-20T20:23:27Z	-
dc.date	1992-01-01	-
dc.date.accessioned	2013-10-09T02:48:05Z	-
dc.date.available	2013-10-09T02:48:05Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AITR-1349	-
dc.identifier	http://hdl.handle.net/1721.1/7041	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Surface (Lambertain) color is a useful visual cue for analyzing material composition of scenes. This thesis adopts a signal processing approach to color vision. It represents color images as fields of 3D vectors, from which we extract region and boundary information. The first problem we face is one of secondary imaging effects that makes image color different from surface color. We demonstrate a simple but effective polarization based technique that corrects for these effects. We then propose a systematic approach of scalarizing color, that allows us to augment classical image processing tools and concepts for multi-dimensional color signals.	-
dc.format	3471425 bytes	-
dc.format	2100679 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AITR-1349	-
dc.title	A Vector Signal Processing Approach to Color	-
Appears in Collections:	MIT Items

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