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 \emph{different} color spaces is addressed.

*"synopsis" may belong to another edition of this title.*

Published by
Morgan and Claypool Publishers
(2009)

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
Quantity Available: > 20

Seller:

Rating

**Book Description **Morgan and Claypool Publishers, 2009. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9781598292329

More Information About This Seller | Ask Bookseller a Question

Published by
Morgan Claypool Publishers, United States
(2009)

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
Paperback
Quantity Available: 10

Seller:

Rating

**Book Description **Morgan Claypool Publishers, United States, 2009. Paperback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Bookseller Inventory # TNP9781598292329

More Information About This Seller | Ask Bookseller a Question

Published by
Morgan & Claypool 10/26/2009
(2009)

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
Paperback or Softback
Quantity Available: 10

Seller:

Rating

**Book Description **Morgan & Claypool 10/26/2009, 2009. Paperback or Softback. Book Condition: New. The Structure and Properties of Color Spaces and the Representation of Color Images. Book. Bookseller Inventory # BBS-9781598292329

More Information About This Seller | Ask Bookseller a Question

Published by
Morgan Claypool Publishers, United States
(2009)

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
Paperback
Quantity Available: 10

Seller:

Rating

**Book Description **Morgan Claypool Publishers, United States, 2009. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****. 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. Bookseller Inventory # APC9781598292329

More Information About This Seller | Ask Bookseller a Question

Published by
Morgan and Claypool Publishers
(2008)

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
Quantity Available: > 20

Seller:

Rating

**Book Description **Morgan and Claypool Publishers, 2008. PAP. Book Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9781598292329

More Information About This Seller | Ask Bookseller a Question

Published by
Morgan Claypool Publishers, United States
(2009)

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
Paperback
Quantity Available: 10

Seller:

Rating

**Book Description **Morgan Claypool Publishers, United States, 2009. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****.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. Bookseller Inventory # APC9781598292329

More Information About This Seller | Ask Bookseller a Question

Published by
Morgan & Claypool

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
Paperback
Quantity Available: > 20

Seller:

Rating

**Book Description **Morgan & Claypool. Paperback. Book Condition: New. Paperback. 130 pages. Dimensions: 9.2in. x 7.4in. x 0.4in.This lecture describes the authors 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 Grassmanns 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 emphdifferent color spaces is addressed. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9781598292329

More Information About This Seller | Ask Bookseller a Question

Published by
Morgan & Claypool Publishers
(2009)

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
Paperback
Quantity Available: 10

Seller:

Rating

**Book Description **Morgan & Claypool Publishers, 2009. Paperback. Book Condition: New. Bookseller Inventory # INGM9781598292329

More Information About This Seller | Ask Bookseller a Question

Published by
Morgan & Claypool Publishers
(2009)

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
Paperback
First Edition
Quantity Available: 1

Seller:

Rating

**Book Description **Morgan & Claypool Publishers, 2009. Paperback. Book Condition: New. book. Bookseller Inventory # M1598292323

More Information About This Seller | Ask Bookseller a Question

Published by
Morgan & Claypool Publishers

ISBN 10: 1598292323
ISBN 13: 9781598292329

New
PAPERBACK
Quantity Available: > 20

Seller:

Rating

**Book Description **Morgan & Claypool Publishers. PAPERBACK. Book Condition: New. 1598292323 Special order direct from the distributor. Bookseller Inventory # ING9781598292329

More Information About This Seller | Ask Bookseller a Question