Estimating Illumination Chromaticity Via Support Vector Regression
نویسندگان
چکیده
منابع مشابه
Estimating Illumination Chromaticity via Support Vector Regression
The technique of support vector regression is applied to the problem of estimating the chromaticity of the light illuminating a scene from a color histogram of an image of the scene. Illumination estimation is fundamental to white balancing digital color images and to understanding human color constancy. Under controlled experimental conditions, the support vector method is shown to perform bet...
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A neural network can learn color constancy, defined here as the ability to estimate the chromaticity of a scene's overall illumination. We describe a multilayer neural network that is able to recover the illumination chromaticity given only an image of the scene. The network is previously trained by being presented with a set of images of scenes and the chromaticities of the corresponding scene...
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A recent method for recovering a greyscale image that is free from shadow effects is extended such that the recovered image is a colour image, in the sense that 2-dimensional chromaticity information is recovered. First, the effect of lighting change, and thus to a large degree shadowing, is removed by projecting logarithms of 2D colour band-ratio chromaticities into a direction that is indepen...
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ژورنال
عنوان ژورنال: Journal of Imaging Science and Technology
سال: 2006
ISSN: 1062-3701
DOI: 10.2352/j.imagingsci.technol.(2006)50:4(341)