A Vector Signal Processing Approach to Color

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

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