Fundamentals of Electronic Imaging Systems


Book Description

Image processing is a fascinating applications area, not a fundamental science of sufficient generality to warrant studying it for its own sake. In this area, there are many opportunities to apply art and experience, as well as knowledge from a number of sciences and engineering disciplines, to the creation of products and processes for which society has an expressed need. Without this need, work in the field would be sterile, but with it, image processing can readily provide the interested scientist or engineer with a professional lifetime of challenging problems and corresponding rewards. This point of view motivates this book and has influenced the selection and treatment of topics. I have not attempted to 1 be encyclopedic; this service has already been performed by others. It will be noted that the word "digital" is not in the title of this book. While much of present-day image processing is implemented digitally, this work is not intended for those who think of image processing as a branch of digital signal processing, except, perhaps, to try to change their minds. Image gathering and image display, vital parts of the field with strong effects on image quality, are inherently analog, as is image transmission in today's most important medium, the over-the-air broadcasting channel. The latter is not about to die, as it is by far the cheapest way to deliver broadband signals to the home. Likewise, the principal means of recording images on paper are continuous and not discrete.




Fundamentals of Electronic Imaging Systems


Book Description

Image processing is an applications area. In this area there are many op portunities to apply art and experience, as well as knowledge from various sciences and engineering disciplines, to the creation of products and pro cesses for which society has urgent need. Without this need, few would be interested in the subject. This point of view motivates this work and has influenced the selection and treatment of topics. It will be noticed that the word "digital" is not in the title. While much of present-day image processing is implemented digitally, this work is not intended for those who think that image processing is a branch of digital signal processing, except perhaps to try to change their minds. This book grew out of courses taught at the Massachusetts Institute of Technology by the author and two of his former students, T.S. Huang and O.J. Tretiak. Like the courses, it is primarily intended for electrical engineers and computer scientists who plan to work in the field. It has not proven necessary to spend much time on strictly digital issues, since the students either know that material already or can learn it very easily by 1 themselves. It also has been unnecessary to be encyclopedic, since Pratt has already performed this important service.




Colour Reproduction in Electronic Imaging Systems


Book Description

With the move of cinema away from film, the adoption of electronic-based production throughout all media is now complete. In order to exploit its advantages, the accurate definition, measurement and reproduction of colour has become more important than ever to achieve the best fidelity of colour reproduction. This book is concerned with providing readers with all they need to know about colour: how it is perceived and described, how it is measured and generated and how it is reproduced in colour systems. It serves as both a tutorial and a reference book, defining what we mean by colour and providing an explanation of the proper derivation of chromaticity charts and through to the means of ensuring accurate colour management. Key Features: Addresses important theory and common misconceptions in colour science and reproduction, from the perception and characteristics of colour to the practicalities of its rendering in the fields of television, photography and cinematography Offers a clear treatment of the CIE chromaticity charts and their related calculations, supporting discussion on system primaries, their colour gamuts and the derivation of their contingent red, green and blue camera spectral sensitivities Reviews the next state-of-the-art developments in colour reproduction beyond current solutions, from Ultra-High Definition Television for the 2020s to laser projectors with unprecedented colour range for the digital cinema Includes a companion website hosting a workbook consisting of invaluable macro-enabled data worksheets; JPEG files containing images referred to in the book, including colour bars and grey scale charts to establish perceived contrast range under different environmental conditions; and, guides to both the workbook and JPEG files




High Performance Silicon Imaging


Book Description

High Performance Silicon Imaging: Fundamentals and Applications of CMOS and CCD Sensors, Second Edition, covers the fundamentals of silicon image sensors, addressing existing performance issues and current and emerging solutions. Silicon imaging is a fast growing area of the semiconductor industry. Its use in cell phone cameras is already well established, with emerging applications including web, security, automotive and digital cinema cameras. The book has been revised to reflect the latest state-of-the art developments in the field, including 3D imaging, advances in achieving lower signal noise, and new applications for consumer markets. The fundamentals section has also been expanded to include a chapter on the characterization and testing of CMOS and CCD sensors that is crucial to the success of new applications. This book is an excellent resource for both academics and engineers working in the optics, photonics, semiconductor and electronics industries. - Covers the fundamentals of silicon-based image sensors and technical advances, focusing on performance issues - Looks at image sensors in applications, such as mobile phones, scientific imaging, and TV broadcasting, and in automotive, consumer and biomedical applications - Addresses the theory behind 3D imaging and 3D sensor development, including challenges and opportunities




Digital Color Management


Book Description

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




A System Engineering Approach to Imaging


Book Description

This textbook addresses imaging from the system engineering point of view, examining advantages and disadvantages of imaging in various spectral regions. Focuses on imaging principles and system concepts, rather than devices. Intended as a senior-year undergraduate or graduate level engineering textbook. A solution manual is included.




Image Restoration


Book Description

Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in supporting real-world applications associated with various scientific and engineering fields. These include astronomical imaging, photo editing, and medical imaging, to name just a few. The book examines how such advances can also lead to novel insights into the fundamental properties of image sources. Addressing the many advances in imaging, computing, and communications technologies, this reference strikes just the right balance of coverage between core fundamental principles and the latest developments in this area. Its content was designed based on the idea that the reproducibility of published works on algorithms makes it easier for researchers to build on each other’s work, which often benefits the vitality of the technical community as a whole. For that reason, this book is as experimentally reproducible as possible. Topics covered include: Image denoising and deblurring Different image restoration methods and recent advances such as nonlocality and sparsity Blind restoration under space-varying blur Super-resolution restoration Learning-based methods Multi-spectral and color image restoration New possibilities using hybrid imaging systems Many existing references are scattered throughout the literature, and there is a significant gap between the cutting edge in image restoration and what we can learn from standard image processing textbooks. To fill that need but avoid a rehash of the many fine existing books on this subject, this reference focuses on algorithms rather than theories or applications. Giving readers access to a large amount of downloadable source code, the book illustrates fundamental techniques, key ideas developed over the years, and the state of the art in image restoration. It is a valuable resource for readers at all levels of understanding.




The Fundamentals of Imaging


Book Description

Illustrates the range of imaging tools, with wave phenomena covering the entire electromagnetic spectrum and ultrasound, and devices that vary from those that just detect the presence of objects to those that image objects in exquisite detail.




Fourier Methods in Imaging


Book Description

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