Accurately estimating reflectance parameters for color and gloss reproduction
Computer Vision and Image Understanding
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Importance of multi-spectral colour information has been remarkably increasing in imaging science. This is because the original spectrum contains much more information about the surface of target objects than perceived colour by human. This article describes our attempts to visualize the invisible information, such as the constituent distribution and internal microstructure of food and plant responses to the environmental stress, by a spectral imaging technique.