Understanding Color Management: Edition 2

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An accessible but technically rigorous guide to color management for all users in all market segments

Understanding Color Management, 2nd Edition explains the basics of color science as needed to understand color profiling software, color measuring instruments, and software applications, such as Adobe Photoshop and proofing RIPs. It also serves as a practical guide to International Color Consortium (ICC) profiles describing procedures for managing color with digital cameras, LCD displays, inkjet proofers, digital presses and web browsers and tablets. Updates since the first edition include new chapters on iPads, tablets and smartphones; home-cinema projection systems, as well as, with the industrial user in mind, new additional chapters on large-format inkjet for signage and banner printing, flexography, xerography and spot color workflows.

Key features:

  • Managing color in digital cameras with Camera Raw and DNG.
  • Step-by-step approach to using color management in Adobe Photoshop CC.
  • M0, M1, M2 instrument measurement modes explained.
  • Testing of low cost, iPhone color measuring instruments.
  • Updated to include iccMAX (Version 5.0) ICC profiles.
  • G7 calibration explained with practical examples.
  • Conventional printing conditions described - SNAP, GRACoL, SWOP, Fogra, CRPC.
  • New sections on Pantone EXTENDED GAMUT Guide.
  • Introduction to XML for color management applications.

Understanding Color Management, 2nd Edition is a valuable resource for digital photographers, keen amateurs and end-users, graphic designers and artists, web masters, production and prepress operators and supervisors, color scientists and researchers, color consultants, and manufacturers. It is a must-have course text for college and university students of graphics arts, graphic communications, digital photography, print media, and imaging arts and sciences.

The Society for Imaging Science and Technology (imaging.org) is an international professional society whose mission is to keep members and others aware of the latest scientific and technological developments in the greater field of imaging. A major objective of the Wiley-IS&T series is to advance this goal at the professional level. The broad scope of the series focuses on imaging in all its aspects, with particular emphasis on digital printing, electronic imaging, image assessment and reproduction, image archiving and preservation, color science, pre-press technologies, and hybrid imaging systems.

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About the author

Abhay Sharma has a BS in Imaging Sciences from the University of Westminster, UK, and a PhD in Physics from King's College London, UK. Sharma developed color products as a Senior Research Scientist at FujiFilm Electronic Imaging, UK, before accepting a position as Associate Professor at Western Michigan University, USA. Dr Sharma is now a Professor in the School of Graphic Communications Management, Ryerson University in Toronto, where he teaches color management to students on the only degree program in print media in Canada. Sharma is well known in the industry via his involvement with the ICC and major Idealliance color evaluation projects for color proofing, color in digital presses, ink optimization, large-format inkjet printing, etc.

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Additional Information

Publisher
John Wiley & Sons
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Published on
Jul 2, 2018
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Pages
344
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ISBN
9781119223689
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Language
English
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Genres
Technology & Engineering / Electrical
Technology & Engineering / Imaging Systems
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Content Protection
This content is DRM protected.
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Available on Android devices
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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 \emph{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. Table of Contents: Introduction / Light: The Physical Color Stimulus / The Color Vector Space / Subspaces and Decompositions of the Human Color Space / Various Color Spaces, Representations, and Transformations / Signals and Systems Theory / Concluding Remarks
Color Management serves as a comprehensive guide to the implementation of the ICC (International Color Consortium) profile specification, widely used for maintaining color fidelity across multi-media imaging devices and software. The book draws together many of the White Papers produced by the ICC to promote the use of color management and disseminate good practice; the ICC specification has become widely accepted within the color industry, and these papers have been updated, expanded and edited for this collection. Other chapters comprise material that will go on to form future ICC White Papers, as well as some original content. The ICC review process ensures that the material and recommendations included are collaborative, reflecting the input of the wide community of color and imaging scientists and developers who make up its membership. Readers can be assured of the best advice for achieving optimum results.

Provides an overview of color management in applications and the role of ICC profiles in a color reproduction system. Presents user guidelines on color measurement procedures and discusses measurement issues for media such as optically-brightened papers and inkjet prints. Offers comprehensive guidance on the latest version of the specification and the application of the perceptual rendering intent with its reference gamut. Examines the construction and benefits of different types of ICC profiles, and sets out compliance test considerations, implementation notes and evaluation of profile quality. Includes a glossary of terms.

This book is written for color and imaging scientists developing, implementing and using color management systems within a range of imaging devices and software. Senior undergraduate and postgraduate students will also find the book of use.

An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing

The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic.

In four comprehensive sections, this book covers:

The fundamentals and requirements for color image processing from a vector-valued viewpoint

Techniques for preprocessing color images

Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging

Applications of color image processing, presented via the examination of two case studies

In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities.

Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.

The essential guide to the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis

Camera Image Quality Benchmarking contains the basic information and approaches for the use of subjectively correlated image quality metrics and outlines a framework for camera benchmarking. The authors show how to quantitatively compare image quality of cameras used for consumer photography. This book helps to fill a void in the literature by detailing the types of objective and subjective metrics that are fundamental to benchmarking still and video imaging devices. Specifically, the book provides an explanation of individual image quality attributes and how they manifest themselves to camera components and explores the key photographic still and video image quality metrics. The text also includes illustrative examples of benchmarking methods so that the practitioner can design a methodology appropriate to the photographic usage in consideration.

The authors outline the various techniques used to correlate the measurement results from the objective methods with subjective results. The text also contains a detailed description on how to set up an image quality characterization lab, with examples where the methodological benchmarking approach described has been implemented successfully. This vital resource:

Explains in detail the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis Provides best practice measurement protocols and methodologies, so readers can develop and define their own camera benchmarking system to industry standards Includes many photographic images and diagrammatical illustrations to clearly convey image quality concepts Champions benchmarking approaches that value the importance of perceptually correlated image quality metrics

Written for image scientists, engineers, or managers involved in image quality and evaluating camera performance, Camera Image Quality Benchmarking combines knowledge from many different engineering fields, correlating objective (perception-independent) image quality with subjective (perception-dependent) image quality metrics.

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