Wiley-IS&T in Imaging Science and Technology

Fourier Methods in Imaging introduces the mathematical tools for modeling linear imaging systems to predict the action of the system or for solving for the input. The chapters are grouped into five sections, the first introduces the imaging "tasks" (direct, inverse, and system analysis), the basic concepts of linear algebra for vectors and functions, including complex-valued vectors, and inner products of vectors and functions. The second section defines "special" functions, mathematical operations, and transformations that are useful for describing imaging systems. Among these are the Fourier transforms of 1-D and 2-D function, and the Hankel and Radon transforms. This section also considers approximations of the Fourier transform. The third and fourth sections examine the discrete Fourier transform and the description of imaging systems as linear "filters", including the inverse, matched, Wiener and Wiener-Helstrom filters. The final section examines applications of linear system models to optical imaging systems, including holography. • Provides a unified mathematical description of imaging systems. • Develops a consistent mathematical formalism for characterizing imaging systems. • Helps the reader develop an intuitive grasp of the most common mathematical methods, useful for describing the action of general linear systems on signals of one or more spatial dimensions. • Offers parallel descriptions of continuous and discrete cases. • Includes many graphical and pictorial examples to illustrate the concepts. This book helps students develop an understanding of mathematical tools for describing general one- and two-dimensional linear imaging systems, and will also serve as a reference for engineers and scientists.

While the field of computer vision drives many of today's digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors' intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, “Color in Computer Vision” explains: • Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods • Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy • Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations • Signal processing techniques for the development of both image processing and machine learning • Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

The classic authority on colour measurement now fully revised and updated with the latest CIE recommendations The measurement of colour is of major importance in many commercial applications, such as the textile, paint, and foodstuff industries, as well as having a significant role in the lighting, paper, printing, cosmetic, plastics, glass, chemical, photographic, television, transport, and communication industries. Building upon the success of earlier editions, the 4th edition of Measuring Colour has been updated throughout with new chapters on colour rendering by light sources, colorimetry with digital cameras, factors affecting the appearance of coloured objects, and details of new CIE colour appearance models. Key features: • Presents colour measurement, not simply as a matter of instrumentation and engineering, but also involving the physiology and psychology of the human observer. • Covers the principles of colour measurement rather than a guide to instruments. • Provides the reader with the basic facts needed to measure colour. • Describes and explains the interactions between how colour is affected by the type of lighting, by the nature of the objects illuminated, and by the properties of the colour vision of observers. • Includes many worked examples, and a series of Appendices provides the numerical data needed in many colorimetric calculations. The addition of 4th edition co-author, Dr. Pointer, has facilitated the inclusion of extensive practical advice on measurement procedures and the latest CIE recommendations.

Rendering High Dynamic Range (HDR) scenes on media with limited dynamic range began in the Renaissance whereby painters, then photographers, learned to use low-range spatial techniques to synthesize appearances, rather than to reproduce accurately the light from scenes. “The Art and Science of HDR Imaging” presents a unique scientific HDR approach derived from artists' understanding of painting, emphasizing spatial information in electronic imaging. Human visual appearance and reproduction rendition of the HDR world requires spatial-image processing to overcome the veiling glare limits of optical imaging, in eyes and in cameras. Illustrated in full colour throughout, including examples of fine-art paintings, HDR photography, and multiple exposure scenes; this book uses techniques to study the HDR properties of entire scenes, and measures the range of light of scenes and the range that cameras capture. It describes how electronic image processing has been used to render HDR scenes since 1967 and examines the great variety of HDR algorithms used today. Showing how spatial processes can mimic vision, and render scenes as artists do, the book also: • Gives the history of HDR from artists' spatial techniques to scientific image processing • Measures and describes the limits of HDR scenes, HDR camera images, and the range of HDR appearances • Offers a unique review of the entire family of Retinex image processing algorithms • Describes the considerable overlap of HDR and Color Constancy: two sides of the same coin • Explains the advantages of algorithms that replicate human vision in the processing of HDR scenes • Provides extensive data to test algorithms and models of vision on an accompanying website

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.

A guide that examines the history and current state of 2.5D printing and explores the relationship between two and three dimensions. “2.5D Printing: Bridging the Gap Between 2D and 3D Applications” examines the relationship between two-and three-dimensional printing and explores the current ideas, methods, and applications. It provides insights about the diversity of our material culture and heritage and how this knowledge can be used to design and develop new methods for texture printing. The authors review the evolving research and interest in working towards developing methods to: capture, measure and model the surface qualities of 3D and 2D objects, represent the appearance of surface, material and textural qualities, and print or reproduce the material and textural qualities. The text reflects information on the topic from a broad range of fields including science, technology, art, design, conservation, perception, and computer modelling. 2.5D Printing: Bridging the Gap Between 2D and 3D Applications provides a survey of traditional methods of capturing 2.5D through painting and sculpture, and how the human perception is able to judge and compare differences. This important text: • Bridges the gap between the technical and perceptual domains of 2D and 3D printing • Discusses perceptual texture, color, illusion, and visual impact to offer a unique perspective • Explores how to print a convincing rendering of texture that integrates the synthesis of texture in fine art paintings, with digital deposition printing • Describes contemporary methods for capturing surface qualities and methods for modelling and measuring, and ways that it is currently being used • Considers the impact of 2.5D for future technologies “2.5D Printing” is a hands-on guide that provides visual inspiration, comparisons between traditional and digital technologies, case studies, and a wealth of references to the world of texture printing.

Computational Colour Science Using MATLAB 2nd Edition offers a practical, problem-based approach to colour physics. The book focuses on the key issues encountered in modern colour engineering, including efficient representation of colour information, Fourier analysis of reflectance spectra and advanced colorimetric computation. Emphasis is placed on the practical applications rather than the techniques themselves, with material structured around key topics. These topics include colour calibration of visual displays, computer recipe prediction and models for colour-appearance prediction. Each topic is carefully introduced at three levels to aid student understanding. First, theoretical ideas and background information are discussed, then explanations of mathematical solutions follow and finally practical solutions are presented using MATLAB. The content includes: • A compendium of equations and numerical data required by the modern colour and imaging scientist. • Numerous examples of solutions and algorithms for a wide-range of computational problems in colour science. • Example scripts using the MATLAB programming language. This 2nd edition contains substantial new and revised material, including three innovative chapters on colour imaging, psychophysical methods, and physiological colour spaces; the MATLAB toolbox has been extended with a professional, optimized, toolbox to go alongside the current teaching toolbox; and a java toolbox has been added which will interest users who are writing web applications and/or applets or mobile phone applications. Computational Colour Science Using MATLAB 2nd Edition is an invaluable resource for students taking courses in colour science, colour chemistry and colour physics as well as technicians and researchers working in the area. In addition, it acts a useful reference for professionals and researchers working in colour dependent industries such as textiles, paints, print & electronic imaging. Review from First Edition: "…highly recommended as a concise introduction to the practicalities of colour science…" (Color Technology, 2004)

The essential resource for readers needing to understand visual perception and for those trying to produce, reproduce and measure color appearance in various applications such as imaging, entertainment, materials, design, architecture and lighting. This book builds upon the success of previous editions, and will continue to serve the needs of those professionals working in the field to solve practical problems or looking for background for on-going research projects. It would also act as a good course text for senior undergraduates and postgraduates studying color science. The 3rd Edition of Color Appearance Models contains numerous new and expanded sections providing an updated review of color appearance and includes many of the most widely used models to date, ensuring its continued success as the comprehensive resource on color appearance models. Key features: • Presents the fundamental concepts and phenomena of color appearance (what objects look like in typical viewing situations) and practical techniques to measure, model and predict those appearances. • Includes the clear explanation of fundamental concepts that makes the implementation of mathematical models very easy to understand. • Explains many different types of models, and offers a clear context for the models, their use, and future directions in the field.

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.