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A Vector Signal Processing Approach to Color

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dc.contributor.author Sung, Kah-Kay en_US
dc.date.accessioned 2004-10-20T20:23:27Z
dc.date.available 2004-10-20T20:23:27Z
dc.date.issued 1992-01-01 en_US
dc.identifier.other AITR-1349 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/7041
dc.description.abstract 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. en_US
dc.format.extent 3471425 bytes
dc.format.extent 2100679 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AITR-1349 en_US
dc.title A Vector Signal Processing Approach to Color en_US


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