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A Vector Signal Processing Approach to Color

dc.date.accessioned2004-10-20T20:23:27Z
dc.date.accessioned2018-11-24T10:22:50Z
dc.date.available2004-10-20T20:23:27Z
dc.date.available2018-11-24T10:22:50Z
dc.date.issued1992-01-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7041
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/7041
dc.description.abstractSurface (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.extent3471425 bytes
dc.format.extent2100679 bytes
dc.language.isoen_US
dc.titleA Vector Signal Processing Approach to Coloren_US


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