Wiley-IS&T Series in Imaging Science and Technology – serie

Increasing use of digital signals for transmitting data in television, photography and printing means the reproduction of pictorial colour in the 21st century continues to drive innovation in its development. Hunt’s classic text The Reproduction of Colour has been fully revised and updated for the sixth edition to provide a comprehensive introduction to colour imaging and colour reproduction. New illustrations, diagrams and photographs ensure that both students and practising engineers using colour images can gain a full understanding of the theory and practical applications behind the phenomena they encounter.Key features: Describes the fundamental principles of colour reproduction for photography, television, printing and electronic imaging.Provides detailed coverage of the physics of light and the property of colorants.Includes new chapters on digital printing and digital imaging, which discuss colour reproduction on HDTV and desktop publishing.Presents expanded coverage of the evaluation of colour appearance.The Reproduction of Colour is already used as a basis for lectures in universities and specialist institutions and continues to be an essential resource for scientists, engineers and developers needing to appreciate the technologies of colour perception.Reviews of the Fifth Edition:"The book is beautifully written and superbly presented. It is a credit to both author and publisher, and deserves to be on the shelves of anyone who has any concern with the reproduction of colour."From The Journal of Photographic Science, Vol. 43 1995"Using his ability as a teacher, Dr Hunt has made potentially very difficult topics quite readable…he brings the insight that leads the reader to a greater depth of understanding."From Color Research and Application, Vol. 23 1998The Society for Imaging Science and Technology is an international society that aims to advance the science and practices of image assessment. A major objective of the Wiley-IS&T series will be to explain the latest scientific and technological developments in the field of imaging at a professional level. The broad scope of the series will focus on imaging in all its aspects, with particular emphasis on digital printing, electronic imaging, photofinishing, image preservation, image assessment, image archiving, pre-press technologies and hybrid imaging systems.

Gamut mapping algorithms, implemented by color management systems, are an integral part of the color reproduction process. By adjusting the colors with appropriate algorithms, gamut mapping enables original colors to ‘fit’ inside differently shaped color gamuts and authentically transfers images across a range of media.   This book illustrates the range of possible gamut mapping strategies for cross-media color reproduction, evaluates the performance of various options and advises on designing new, improved solutions. Starting with overviews of color science, reproduction and management, the text includes:  a detailed survey of 90+ gamut mapping algorithms covering color-by-color reduction and expansion, spatial reduction, spectral reduction and gamut mapping for niche applications;a step-by-step example of a color’s journey from original to reproduction, via a digital workflow;a detailed analysis of color gamut computation, including a comparison of alternative techniques and an illustration of the gamuts of salient color sets and media;a presentation of both measurement-based and psychovisual evaluation of individual color reproductions;an overview of alternative approaches to gamut mapping proposed by the ISO and the CIE including an analysis of the building blocks of gamut mapping algorithms and the factors affecting their performance.Color Gamut Mapping is a comprehensive resource for practicing color and imaging engineers, scientists and researchers working in the development of imaging devices, software and solutions.  It is also a valuable reference for students of color and imaging science, as well as photographers, graphic designers and artists.

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.

A human observer is able to recognize the color of objects irrespective of the light used to illuminate them. This is called color constancy. A digital camera uses a sensor to measure the reflected light, meaning that the measured color at each pixel varies according to the color of the illuminant. Therefore, the resulting colors may not be the same as the colors that were perceived by the observer. Obtaining color constant descriptors from image pixels is not only important for digital photography, but also valuable for computer vision, color-based automatic object recognition, and color image processing in general. This book provides a comprehensive introduction to the field of color constancy, describing all the major color constancy algorithms, as well as presenting cutting edge research in the area of color image processing. Beginning with an in-depth look at the human visual system, Ebner goes on to: examine the theory of color image formation, color reproduction and different color spaces;discuss algorithms for color constancy under both uniform and non-uniform illuminants;describe methods for shadow removal and shadow attenuation in digital images;evaluate the various algorithms for object recognition and color constancy and compare this to data obtained from experimental psychology;set out the different algorithms as pseudo code in an appendix at the end of the book.Color Constancy is an ideal reference for practising engineers, computer scientists and researchers working in the area of digital color image processing. It may also be useful for biologists or scientists in general who are interested in computational theories of the visual brain and bio-inspired engineering systems.

Panoramic imaging is a progressive application and research area. This technology has applications in digital photography, robotics, film productions for panoramic screens, architecture, environmental studies, remote sensing and GIS technology. Applications demand different levels of accuracy for 3D documentation or visualizations. This book describes two modern technologies for capturing high-accuracy panoramic images and range data, namely the use of sensor-line cameras and laser range-finders. It provides mathematically accurate descriptions of the geometry of these sensing technologies and the necessary information required to apply them to 3D scene visualization or 3D representation. The book is divided into three parts:  Part One contains a full introduction to panoramic cameras and laser range-finders, including a discussion of calibration to aid preparation of equipment ready for use. Part Two explains the concept of stereo panoramic imaging, looking at epipolar geometry, spatial sampling, image quality control and camera analysis and design. Part Three looks at surface modelling and rendering based on panoramic input data, starting with the basics and taking the reader through to more advanced techniques such as the optimization of surface meshes and data fusion. There is also an accompanying website containing high-resolution visual samples and animations, illustrating techniques discussed in the text.Panoramic Imaging is primarily aimed at researchers and students in engineering or computer science involved in using imaging technologies for 3D visualization or 3D scene reconstruction. It is also of significant use as an advanced manual to practising engineers in panoramic imaging. In brief, the book is of value to all those interested in current developments in multimedia imaging technology

Colorimetry, the science of quantitvely describing color, is essential for color reproduction technology. This is because it creates standards by which to measure color, using mathematical techniques and software to ensure fidelity across media, allow accurate color mixing, and to develop color optimization. This book is a comprehensive and thorough introduction to colorimetry, taking the reader from basic concepts through to a variety of industrial applications. Set out in clear, easy-to-follow terminology, Ohta and Robertson explain fundamental principles such as color specification, the CIE (International Commission on Illumination) system, and color vision and appearance models. They also cover the following topics: the optimization of color reproduction;uniform color spaces and color difference formulae, including the CIEDE 2000 formula;applications of metamerism, chromatic adaptation, color appearance and color rendering;mathematical formulae for calculating color mixing, maximising luminous efficacy, and designing illuminants with specific properties.Colorimetry: Fundamentals and Applications is an ideal reference for practising color engineers, color scientists and imaging professionals working on color systems. It is also a practical guide for senior undergraduate and graduate students who want to acquire knowledge in the field.

All successful imaging systems employ some form of color management for previewing, controlling and adjusting color throughout the image-production process. Today’s increasingly complex systems pose challenging problems: they must support numerous devices and media having disparate color properties, and they also must provide for the interchange of images among dissimilar systems. In this book, the authors address and solve these problems using innovative methods of representing color in the digital domain. The second edition of this popular book explains the capabilities and limitations of existing color management systems and provides comprehensive practical solutions for communicating color within and among imaging systems, from the simplest to the most complex. Beginning with the fundamentals of color and human color perception, the book progresses to in-depth analyses of the nature of color images, digital color encoding, color management systems and digital color interchange. Fully revised and updated, this second edition of Digital Color Management features new and expanded coverage including: electronic displays and electronic imaging systems;scene-based and appearance-based color encoding methods;color management for digital cinema;a Unified Paradigm—a comprehensive, integrated color-managed environment for the color-imaging industry;four new chapters, two new appendices, and more than 80 new figures.This book is an essential resource for engineers, programmers and imaging professionals designing and engineering color-imaging systems and for others simply looking to increase their understanding of the field. Scientists, researchers, advanced undergraduates and graduate students involved in imaging technology also will find this book of significant interest and usefulness.Reviews for the first edition:‘The absence of unnecessary jargon, the impeccable writing style, the material depth leads only to one conclusion: If you buy one digital color book this year, buy this one.’ W. David Schwaderer, Digital Camera Magazine‘It [Digital Color Management] fulfils the need among engineers and scientists for a comprehensive understanding of color management, imaging, media, viewing conditions, appearance and communication.’ Arthur S. Diamond, Imaging News

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)

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 processingMeasures and describes the limits of HDR scenes, HDR camera images, and the range of HDR appearancesOffers a unique review of the entire family of Retinex image processing algorithmsDescribes the considerable overlap of HDR and Color Constancy: two sides of the same coinExplains the advantages of algorithms that replicate human vision in the processing of HDR scenesProvides extensive data to test algorithms and models of vision on an accompanying websitewww.wiley.com/go/mccannhdr

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

The JPEG 2000 Suite provides a comprehensive overview of the baseline JPEG 2000 standard and its extensions. The first part of the book sets out the core coding system, additions to the standard and reference software. The second part discusses the successful deployment of JPEG 2000 in application domains such as video surveillance, digital cinema, digital television, medical imaging, defence imaging, security, geographic imaging and remote sensing, digital culture imaging and 3D graphics. The book also presents implementation strategies accompanied by existing software and hardware solutions. Describes secure JPEG 2000 (JPSEC), interactivity protocols (JPIP), volumetric image data compression (JP3D) and image compression in wireless environments (JPWL), amongst others.Uses a structure which allows for easy cross-reference with the components of the standard.Sets out practical implementation examples and results.Examines strategies for future image compression techniques, including Advanced Image Coding and JPEG XR. Includes contributions from international specialists in industry and academia who have worked on the development of the JPEG 2000 standard.Additional material can be found at www.jpeg.org.The JPEG 2000 Suite is an excellent introduction to the JPEG 2000 standard and is of great appeal to practising electronics engineers, researchers, and hardware and software developers using and developing image coding techniques. Graduate students taking courses on image compression, digital archiving, and data storage techniques will also find the book useful, as will graphic designers, artists, and decision makers in industries developing digital applications.

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 methodsColor science topics such as color systems, color reflection mechanisms, color invariance, and color constancyDigital image processing, including edge detection, feature extraction, image segmentation, and image transformationsSignal processing techniques for the development of both image processing and machine learningRobotics 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.

A guide that examines the history and current state of 2.5D printing and explores the relationship between two and three dimensions2.5D 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 printingDiscusses perceptual texture, color, illusion, and visual impact to offer a unique perspectiveExplores how to print a convincing rendering of texture that integrates the synthesis of texture in fine art paintings, with digital deposition printingDescribes contemporary methods for capturing surface qualities and methods for modelling and measuring, and ways that it is currently being usedConsiders the impact of 2.5D for future technologies2.5D 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.Please visit the companion website at: www.wiley.com/go/bridging2d3d

The essential guide to the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysisCamera 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 analysisProvides best practice measurement protocols and methodologies, so readers can develop and define their own camera benchmarking system to industry standardsIncludes many photographic images and diagrammatical illustrations to clearly convey image quality conceptsChampions 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.

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

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.