Color plays a vitally important role in the world we live in. It surrounds us everywherewe go. Achromatic life, restricted to black, white and grey, is extremely dull. Color fascinatesartists, for it adds enormously to aesthetic appreciation, directly invoking thoughts, emotionsand feelings. Color fascinates scientists. For decades, scientists in color imaging, printing anddigital photography have striven to satisfy increasing demands for accuracy in color reproduc-tion.Fluorescence is a very common phenomenon observed in many objects such as gems andcorals, writing paper, clothes, and even laundry detergent. Traditional color imaging algo-rithms exclude fluorescence by assuming that all objects have only an ordinary reflective com-ponent. The first part of the thesis shows that the color appearance of an object with bothreflective and fluorescent components can be represented as a linear combination of the twocomponents. A linear model allows us to separate the two components using independentcomponent analysis (ICA). We can then apply different algorithms to each component, andcombine the results to form images with more accurate color.Displaying color images accurately is as important as reproducing color images accurately.The second part of the thesis presents a new, practical model for displaying color images onself-luminous displays such as LCD monitors. It shows that the model accounts for humanvisual system’s mixed adaptation condition and produces results comparable to many existingalgorithms.
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