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The Structure and Properties of Color Spaces and the Representation of Color Images by Eric Dubois (Paperback, 2009)

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This lecture describes the author's approach to the representation of color spaces and their use for color image processing. The lecture starts with a precise formulation of the space of physical stimuli (light). The model includes both continuous spectra and monochromatic spectra in the form of Dirac deltas. The spectral densities are considered to be functions of a continuous wavelength variable. This leads into the formulation of color space as a three-dimensional vector space, with all the associated structure. The approach is to start with the axioms of color matching for normal human viewers, often called Grassmann's laws, and developing the resulting vector space formulation. However, once the essential defining element of this vector space is identified, it can be extended to other color spaces, perhaps for different creatures and devices, and dimensions other than three. The CIE spaces are presented as main examples of color spaces. Many properties of the color space are examined. Once the vector space formulation is established, various useful decompositions of the space can be established. The first such decomposition is based on luminance, a measure of the relative brightness of a color. This leads to a direct-sum decomposition of color space where a two-dimensional subspace identifies the chromatic attribute, and a third coordinate provides the luminance. A different decomposition involving a projective space of chromaticity classes is then presented. Finally, it is shown how the three types of color deficiencies present in some groups of humans leads to a direct-sum decomposition of three one-dimensional subspaces that are associated with the three types of cone photoreceptors in the human retina. Next, a few specific linear and nonlinear color representations are presented. The color spaces of two digital cameras are also described. Then the issue of transformations between different color spaces is addressed. Finally, these ideas are applied to signal and system theory for color images. This is done using a vector signal approach where a general linear system is represented by a three-by-three system matrix. The formulation is applied to both continuous and discrete space images, and specific problems in color filter array sampling and displays are presented for illustration. The book is mainly targeted to researchers and graduate students in fields of signal processing related to any aspect of color imaging.

Product Identifiers

Publisher
Morgan & Claypool Publishers
ISBN-13
9781598292329
eBay Product ID (ePID)
95237327

Product Key Features

Subject Area
Electrical Engineering
Author
Eric Du Bois
Publication Name
The Structure and Properties of Color Spaces and the Representation of Color Images
Format
Paperback
Language
English
Publication Year
2009
Type
Textbook
Number of Pages
129 Pages

Dimensions

Item Height
235mm
Item Width
187mm

Additional Product Features

Title_Author
Eric Du Bois
Series Title
Synthesis Lectures on Image, Video, and Multimedia Processing
Country/Region of Manufacture
United States

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The Structure and Properties of Color Spaces and the Representation of Color Images by Eric Dubois (Paperback, 2009)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Time Management by Peter Quarry (Paperback, 1986)

Complete Illustrated Encyclopedia of Dinosaurs & Prehistoric Creatures by Dixon Dougal (Paperback, 2014)

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Save on Adult Learning & University

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