The Structure and Properties of Color Spaces and the Representation of Color Images

Focusing on the representation of color spaces, this lecture explores the formulation of physical stimuli and their application in color image processing. It begins with Grassmann's laws for color matching, leading to a vector space model that can be adapted for various creatures and devices. The discussion includes decompositions based on luminance and chromaticity, along with analyses of color deficiencies in humans. Additionally, it covers linear and nonlinear color representations, transformations between color spaces, and their applications in signal and system theory, targeting researchers and graduate students in color imaging.