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The Computation of Color

dc.date.accessioned2004-10-20T20:22:24Z
dc.date.accessioned2018-11-24T10:22:45Z
dc.date.available2004-10-20T20:22:24Z
dc.date.available2018-11-24T10:22:45Z
dc.date.issued1989-09-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7021
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/7021
dc.description.abstractThis thesis takes an interdisciplinary approach to the study of color vision, focussing on the phenomenon of color constancy formulated as a computational problem. The primary contributions of the thesis are (1) the demonstration of a formal framework for lightness algorithms; (2) the derivation of a new lightness algorithm based on regularization theory; (3) the synthesis of an adaptive lightness algorithm using "learning" techniques; (4) the development of an image segmentation algorithm that uses luminance and color information to mark material boundaries; and (5) an experimental investigation into the cues that human observers use to judge the color of the illuminant. Other computational approaches to color are reviewed and some of their links to psychophysics and physiology are explored.en_US
dc.format.extent16304076 bytes
dc.format.extent12657653 bytes
dc.language.isoen_US
dc.titleThe Computation of Coloren_US


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