To physicists and chemists, color means light emission, absorption, spectrum, and coloration. Near-Infrared Organic Materials and Emerging Applications presents knowledge and applications of invisible "colored" organic materials. Near-infrared (NIR) materials are defined as substances that interact with NIR light, namely, absorption and reflection, and emit NIR light upon stimulation, for example, photoexcitation, electric field, and chemical reaction. This book offers up-to-date information on low band-gap organic materials with unique near-infrared absorbing, fluorescent, and photovoltaic properties for various emerging applications.
The author emphasizes the chemistry of materials, in particular the structure property relationship of near-infrared organic compounds and polymers. The text discusses the molecular design aspect of NIR materials, including effects of conjugation length and donor acceptor charge transfer. Chapters also cover information on the structures and key properties of NIR organic compounds, such as those containing rylene, polymethine, and metal-complex chromophores, as well as polymers, including nonconjugated NIR-absorbing, conjugated dye-containing, and donor acceptor conjugated polymers.
The final chapter describes emerging applications of NIR organic materials based on absorbing, chromogenic, photosensitizing, photovoltaic, and fluorescent properties, as well as applications of low band-gap compounds and polymers in ambipolar organic transistors. Presenting useful data and thought-provoking ideas, this book provides a practical reference on optical properties and structures of NIR organic materials and their design principles and applications.

With the ongoing release of 3D movies and the emergence of 3D TVs, 3D imaging technologies have penetrated our daily lives. Yet choosing from the numerous 3D vision methods available can be frustrating for scientists and engineers, especially without a comprehensive resource to consult. Filling this gap, Handbook of 3D Machine Vision: Optical Metrology and Imaging gives an extensive, in-depth look at the most popular 3D imaging techniques. It focuses on noninvasive, noncontact optical methods (optical metrology and imaging).

The handbook begins with the well-studied method of stereo vision and explains how random speckle patterns or space-time varying patterns substantially improve the results of stereo vision. It then discusses stereo particle image velocimetry as a major experimental means in fluid dynamics, the robust and easy-to-implement structured-light technique for computer science applications, digital holography for performing micro- to nanoscale measurements, and grating, interferometry, and fringe projection techniques for precisely measuring dynamically deformable natural objects.

The book goes on to describe techniques that do not require triangulation to recover a 3D shape, including time-of-flight techniques and uniaxial 3D shape measurement, as well as 3D measurement techniques that are not restricted to surface capture, such as 3D ultrasound, optical coherence tomography, and 3D endoscopy. The book also explores how novel 3D imaging techniques are being applied in the promising field of biometrics which may prove essential to security and public safety.

Written by key players in the field and inventors of important imaging technologies, this authoritative, state-of-the-art handbook helps you understand the core of 3D imaging technology and choose the proper 3D imaging technique for your needs. For each technique, the book provides its mathematical foundations, summarizes its successful applications, and discusses its limitations. "

Biomimetic photonics is a burgeoning field. Biologists are finding and describing a whole menagerie of unique and astonishingly complex nano- and microstructures in fauna and flora. Material scientists are developing novel multifunctional and hierarchical structures with a wide variety of post-nano era photonics applications. Mathematicians and computer scientists are using computer models and simulations to understand the underlying principles of biomimetic structures. However, concepts, structures, and phenomena that are well known in one community are quite unknown in others. Exploring a biomimetic approach to developing photonic devices and structures, Biomimetics in Photonics discusses not only the role of and results of biomimicry in engineering, but also the true understanding of natural processes and the application of these techniques to established technologies. Featured Topics Photonic structures in flowers, leaves and fruits and inorganic structures produced in aquatic environment by diatoms, sponges, and shells Mechanisms for biomineralization and how natural structures can be synthetically modified or even used as templates for artificial photonic materials Biological photonic structures in beetles and butterflies and their bio-inspired applications, including anti-reflecting surfaces, iridescent viruses, light reflection, metallic effects, and infrared sensors Suitable for researchers and graduate students, the book does more than describe how to extract good design from nature-Biomimetics in Photonics highlights natural design techniques in context, allowing for a more complete modeling picture. It demonstrates the possibilities and challenges in the move from a laboratory environment to industrial scale production of biomimetic photonic structures.

In Optical Nano and Micro Actuator Technology, leading engineers, material scientists, chemists, physicists, laser scientists, and manufacturing specialists offer an in-depth, wide-ranging look at the fundamental and unique characteristics of light-driven optical actuators. They discuss how light can initiate physical movement and control a variety of mechanisms that perform mechanical work at the micro- and nanoscale. The book begins with the scientific background necessary for understanding light-driven systems, discussing the nature of light and the interaction between light and NEMS/MEMS devices. It then covers innovative optical actuator technologies that have been developed for many applications. The book examines photoresponsive materials that enable the design of optically driven structures and mechanisms and describes specific light-driven technologies that permit the manipulation of micro- and nanoscale objects. It also explores applications in optofluidics, bioMEMS and biophotonics, medical device design, and micromachine control. Inspiring the next generation of scientists and engineers to advance light-driven technologies, this book gives readers a solid grounding in this emerging interdisciplinary area. It thoroughly explains the scientific language and fundamental principles, provides a holistic view of optical nano and micro actuator systems, and illustrates current and potential applications of light-driven systems.

This timely work presents a comprehensive overview of the development of new generations of infrared detectors based on artificially synthesized quantum structures. The growth of quantum wells and superlattices is well documents in this volume, as are the principal new superlattice technologies for long wavelength infrared detection. Featuring insightful contributions from researchers working at the "cutting edge" of this exciting field, this volume is sure to become an essential reference for advanced graduate students and researchers alike.

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing.

Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results, making the book accessible to a broad audience.

This second edition reflects the considerable advances that have occurred in the field, with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing, empirical mode decomposition, and sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing.

The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor, software, and hardware technologies. Written for industrial and academic researchers and graduate students alike, this book helps readers connect the "dots" in image and signal processing.

New in This Edition

The second edition includes four chapters from the first edition, plus 23 new or entirely rewritten chapters, and 190 new figures. New topics covered include:

• Compressive sensing
• The mixed pixel problem with hyperspectral images
• Hyperspectral image (HSI) target detection and classification based on sparse representation
• An ISAR technique for refocusing moving targets in SAR images
• Empirical mode decomposition for signal processing
• Feature extraction for classification of remote sensing signals and images
• Active learning methods in classification of remote sensing images
• Signal subspace identification of hyperspectral data
• Wavelet-based multi/hyperspectral image restoration and fusion

The second edition is not intended to replace the first edition entirely and readers are encouraged to read both editions of the book for a more complete picture of signal and image processing in remote sensing. See Signal and Image Processing for Remote Sensing (CRC Press 2006).

Light on physics and math, with a heavy focus on practical applications, Optical, Acoustic, Magnetic, and Mechanical Sensor Technologies discusses the developments necessary to realize the growth of truly integrated sensors for use in physical, biological, optical, and chemical sensing, as well as future micro- and nanotechnologies.

Used to pick up sound, movement, and optical or magnetic signals, portable and lightweight sensors are perpetually in demand in consumer electronics, biomedical engineering, military applications, and a wide range of other sectors. However, despite extensive existing developments in computing and communications for integrated microsystems, we are only just now seeing real transformational changes in sensors, which are critical to conducting so many advanced, integrated tasks.

This book is designed in two sections Optical and Acoustic Sensors and Magnetic and Mechanical Sensors that address the latest developments in sensors.

The first part covers:

• Optical and acoustic sensors, particularly those based on polymer optical fibers
• Potential of integrated optical biosensors and silicon photonics
• Luminescent thermometry and solar cell analyses
• Description of research from United States Army Research Laboratory on sensing applications using photoacoustic spectroscopy
• Advances in the design of underwater acoustic modems

The second discusses:

• Magnetic and mechanical sensors, starting with coverage of magnetic field scanning
• Some contributors personal accomplishments in combining MEMS and CMOS technologies for artificial microsystems used to sense airflow, temperature, and humidity
• MEMS-based micro hot-plate devices
• Vibration energy harvesting with piezoelectric MEMS
• Self-powered wireless sensing

As sensors inevitably become omnipresent elements in most aspects of everyday life, this book assesses their massive potential in the development of interfacing applications for various areas of product design and sciences including electronics, photonics, mechanics, chemistry, and biology, to name just a few.

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results, making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field, with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing, empirical mode decomposition, and sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor, software, and hardware technologies. Written for industrial and academic researchers and graduate students alike, this book helps readers connect the "dots" in image and signal processing. New in This Edition The second edition includes four chapters from the first edition, plus 23 new or entirely rewritten chapters, and 190 new figures. New

A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and panchromatic images, and fusion of data from heterogeneous sensors such as optical and synthetic aperture radar (SAR) images and integration of thermal and visible/near-infrared images. They also explore new trends of signal/image processing, such as compressive sensing and sparse signal representations. The book brings a new perspective to a multidisciplinary research field that is becoming increasingly articulate and comprehensive. It fosters signal/image processing methodologies toward the goal of information extraction, either by humans or by machines, from remotely sensed images. The authors explain how relatively simple processing methods tailored to the specific features of the images may be winning in terms of reliable performance over more complex algorithms based on mathematical theories and models unconstrained from the physical behaviors of the instruments. Ultimately, the book covers the births and developments of three generations of RS image fusion. Established textbooks are mainly concerned with the earliest generation of methods. This book focuses on second generation methods you can use now and new trends that may become third generation methods. Only the lessons learned with second generation methods will be capable of fostering the excellence among the myriad of methods that are proposed almost every day by the scientific literature.

Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year. Written by leading experts in the field Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding modeling of rib-cage breathing. Readers are also presented with three different applications of CS to the ISAR imaging problem, which includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data.

"This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior knowledge of digital image processing and computer graphics fundamentals. Each chapter contains a table of contents, illustrations, and figures that elucidate the presented concepts in detail, as well as a chapter summary and a bibliography for further reading. Well-known experts cover a wide range of topics and related applications, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models"--

How does the field of optical engineering impact biotechnology? Perhaps for the first time, Applied Optics Fundamentals and Device Applications: Nano, MOEMS, and Biotechnology answers that question directly by integrating coverage of the many disciplines and applications involved in optical engineering, and then examining their applications in nanobiotechnology. Written by a senior U.S. Army research scientist and pioneer in the field of optical engineering, this book addresses the exponential growth in materials, applications, and cross-functional relevance of the many convergent disciplines making optical engineering possible, including nanotechnology, MEMS, (MOEMS), and biotechnology. Integrates Coverage of MOEMS, Optics, and Nanobiotechnology-and Their Market Applications Providing an unprecedented interdisciplinary perspective of optics technology, this book describes everything from core principles and fundamental relationships, to emerging technologies and practical application of devices and systems-including fiber-optic sensors, integrated and electro-optics, and specialized military applications. The author places special emphasis on: Fiber sensor systems Electro-optics and acousto-optics Optical computing and signal processing Optical device performance Thin film magnetic memory MEMS, MOEMS, nano- and bionanotechnologies Optical diagnostics and imaging Integrated optics Design constraints for materials, manufacturing, and application space Bridging the technology gaps between interrelated fields, this reference is a powerful tool for students, engineers and scientists in the electrical, chemical, mechanical, biological, aerospace, materials, and optics fields. Its value also extends to applied physicists and professionals interested in the relationships between emerging technologies and cross-disciplinary opportunities. Author Mark A. Mentzer is a pioneer in the field of optical engineering. He is a senior research scientist at the U.S. Army Research Laboratory in Maryland. Much of his current work involves extending the fields of optical engineering and solid state physics into the realm of biochemistry and molecular biology, as well as structured research in biophotonics.

The current rapid and complex advancement applications of electromagnetic (EM) and optical systems calls for a much needed update on the computational methods currently in use. Completely revised and reflecting ten years of develoments, this second edition of the bestselling Computational Methods for Electromagnetic and Optical Systems provides the update so desperately needed in this field.

Offering a wealth of new material, this second edition begins with scalar wave propagation and analysis techniques, chiral and metamaterials, and photonic band gap structures. It examines Pontying vector and stored energy, as well as energy, group, and phase velocities; reviews k-space state variable formation with applications to anistropic planar systems; and presents full-field rigorous coupled wave analysis of planar diffraction gratings with applications to H-mode, E-mode, crossed gratings, single and multilayered diffraction grating analysis, and diffraction from anistropic gratings.

Later chapters highlight spectral techniques and RCWA as applied to the analysis of dynamic wave-mixing in PR materials with induced transmission and reflection gratings and demonstrate the RCWA algorithm to analyze cylindrical and spherical systems using circular, bipolar cylindrical, and spherical coordinates. The book concludes with several RCWA computational case studies involving scattering from spatially inhomogeneous eccentric circular cylinders, solved in bipolar coordinates. Many of these examples apply the complex Poynting theorem or the forwardscattering (optical) theorem to validate numerical solutions by verifying power conservation.

Using common computational tools such as Fortran, MATLAB, COMSOL, and RSOFT, the text offers numerous examples to illuminate the material, many of which employ a full-field vector approach to analyze and solve Maxwell 's equations in anisotropic media where a standard wave equation approach is intractable. Designed to introduce novel spectral computational techniques, the book demonstrates the application of these methods to analyze a variety of EM and optical systems.

The technical development of optical tweezers, along with their application in the biological and physical sciences, has progressed significantly since the demonstration of an optical trap for micron-sized particles based on a single, tightly focused laser beam was first reported more than twenty years ago. Bringing together many landmark papers on the field, Optical Tweezers: Methods and Applications covers the techniques and uses of optical tweezers. Each section is introduced by a brief commentary, setting the papers into their historical and contemporary contexts. The first two sections explore the pioneering work of Arthur Ashkin and the use of optical tweezers in biological systems. The book then discusses the extensive use of optical tweezers for the measurement of picoNewton forces and examines various approaches for modeling forces within optical tweezers. The next parts explain how optical tweezers are used in colloid science, how to convert optical tweezers into optical spanners, and how spatial light modulators create holographic tweezers. The book concludes with a section on emerging applications of optical tweezers in microfluidic systems. With contributions from some of the best in the field, this compendium presents important historical and current developments of optical tweezers in a range of scientific areas, from the manipulation of bacteria to the treatment of DNA.

Computational photography refers broadly to imaging techniques that enhance or extend the capabilities of digital photography. This new and rapidly developing research field has evolved from computer vision, image processing, computer graphics and applied optics-and numerous commercial products capitalizing on its principles have already appeared in diverse market applications, due to the gradual migration of computational algorithms from computers to imaging devices and software. Computational Photography: Methods and Applications provides a strong, fundamental understanding of theory and methods, and a foundation upon which to build solutions for many of today's most interesting and challenging computational imaging problems. Elucidating cutting-edge advances and applications in digital imaging, camera image processing, and computational photography, with a focus on related research challenges, this book: Describes single capture image fusion technology for consumer digital cameras Discusses the steps in a camera image processing pipeline, such as visual data compression, color correction and enhancement, denoising, demosaicking, super-resolution reconstruction, deblurring, and high dynamic range imaging Covers shadow detection for surveillance applications, camera-driven document rectification, bilateral filtering and its applications, and painterly rendering of digital images Presents machine-learning methods for automatic image colorization and digital face beautification Explores light field acquisition and processing, space-time light field rendering, and dynamic view synthesis with an array of cameras Because of the urgent challenges associated with emerging digital camera applications, image processing methods for computational photography are of paramount importance to research and development in the imaging community. Presenting the work of leading experts, and edited by a renowned authority in digital color imaging and camera image processing, this book considers the rapid developments in this area and addresses very particular research and application problems. It is ideal as a stand-alone professional reference for design and implementation of digital image and video processing tasks, and it can also be used to support graduate courses in computer vision, digital imaging, visual data processing, and computer graphics, among others.

First published in 1993: This book is an outgrowth of fiber optic design courses given by the author.

Polarization Measurement and Control in Optical Fiber Communication and Sensor Systems A practical handbook covering polarization measurement and control in optical communication and sensor systems In Polarization Measurement and Control in Optical Fiber Communication and Sensor Systems, the authors deliver a comprehensive exploration of polarization related phenomena, as well as the methodologies, techniques, and devices used to eliminate, mitigate, or compensate for polarization related problems and impairments. The book also discusses polarization-related parameter measurement and characterization technologies in optical fibers and fiber optic devices and the utilization of polarization to solve problems or enable new capabilities in communications, sensing, and measurement systems. The authors provide a practical and hands-on treatment of the information that engineers, scientists, and graduate students must grasp to be successful in their everyday work. In addition to coverage of topics ranging from the use of polarization analysis to obtain instantaneous spectral information on light sources to the design of novel fiber optic gyroscopes for rotation sensing, Polarization Measurement and Control in Optical Fiber Communication and Sensor Systems offers: A thorough introduction to polarization in optical fiber studies, including a history of polarization in optical fiber communication and sensor systems Comprehensive discussions of the fundamentals of polarization, including the effects unique to optical fiber systems, as well as extensive coverage Jones and Mueller matrix calculus for polarization analysis In-depth treatments of active polarization controlling devices for optical fiber systems, including polarization controllers, scramblers, emulators, switches, and binary polarization state generators Fulsome explorations of passive polarization management devices, including polarizers, polarization beam splitters/displacers, wave-plates, Faraday rotators, and depolarizers Extensive review of polarization measurement techniques and devices, including time-division, amplitude-division, and wave-front division Stokes polarimeters, as well as various Mueller matrix polarimeters for PMD, PDL, and birefringence measurements Premiere of binary polarization state analyzers and binary Mueller matrix polarimeters pioneered by the authors, including their applications for highly sensitive PMD, PDL, and birefringence measurements Comprehensive discussion on distributed polarization analysis techniques developed by the authors, including their applications in solving real world problems Detailed descriptions of high accuracy polarimetric fiber optic electric current and magnetic field sensors Perfect for professional engineers, scientists, and graduate students studying fiber optics, Polarization Measurement and Control in Optical Fiber Communication and Sensor Systems enables one to quickly grasp extensive knowledge and latest development of polarization in optical fibers and will earn a place in the libraries of professors and teachers of photonics and related disciplines.

The ability to see through smoke and mist and the ability to use the variances in temperature to differentiate between targets and their backgrounds are invaluable in military applications and have become major motivators for the further development of thermal imagers. As the potential of thermal imaging is more clearly understood and the cost decreases, the number of industrial and civil applications being exploited is growing quickly. In order to evaluate the suitability of particular thermal imaging cameras for particular applications, it is important to have the means to specify and measure meaningful performance characteristics. Thermal Imaging Cameras: Characteristics and Performance expands our current understanding of thermal imaging and, most importantly, provides a sound quantitative basis for evaluating the suitability of various thermal imagers for particular applications. Utilizing a practical approach that keeps theory and mathematics to a minimum, the text reviews the important performance parameters for industrial, laboratory, and surveillance applications as well as how these parameters can be measured. The author, T. L. Williams, a distinguished expert on designing and testing thermal imaging systems and recipient of the Callendar Medal from the Institute of Measurement and Control, focuses on the standard form of imaging camera but also includes descriptions of the different specialized forms of thermal imagers useful to anyone working with these systems. Providing detailed descriptions of the equipment and techniques that can be used for testing complete thermal imagers as well as in the testing of the main subunits of a thermal imager, this comprehensive reference will prove invaluable not only to those who use, test, and design thermal imagers, but also to anyone designing equipment or making measurements in the thermal band of wavelengths.

Semiconductor Quantum Well Intermixing is an international collection of research results dealing with several aspects of the diffused quantum well (DFQW), ranging from Physics to materials and device applications. The material covered is the basic interdiffusion mechanisms of both cation and anion groups as well as the properties of band structure modifiations. Its comprehensive coverage of growth and pos-growth processing technologies along with its presentation of the various interesting and advanced features of the DFQW materials make this book an essential reference to the study of QW layer intermixing.

This book is designed to introduce typical cleanroom processes, techniques, and their fundamental principles. It is written for the practicing scientist or engineer, with a focus on being able to transition the information from the book to the laboratory. Basic theory such as electromagnetics and electrochemistry is described in as much depth as necessary to understand and explain the current practice and their limitations. Examples from various areas of interest will be covered, such as the fabrication of photonic devices including photo detectors, waveguides, and optical coatings, which are not commonly found in other fabrication texts.

Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus filling a gap in the available literature on blind image deconvolution. Explore the gamut of blind image deconvolution approaches and algorithms that currently exist and follow the current research trends into the future. This comprehensive treatise discusses Bayesian techniques, single- and multi-channel methods, adaptive and multi-frame techniques, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels. Everything you need to step into this dynamic field is at your fingertips in this unique, self-contained masterwork. For image enhancement and restoration without a priori information, turn to Blind Image Deconvolution: Theory and Applications for the knowledge and techniques you need to tackle real-world problems.

Digital image sequences (including digital video) are increasingly common and important components in technical applications ranging from medical imaging and multimedia communications to autonomous vehicle navigation. The immense popularity of DVD video and the introduction of digital television make digital video ubiquitous in the consumer domain. Digital Image Sequence Processing, Compression, and Analysis provides an overview of the current state of the field, as analyzed by leading researchers. An invaluable resource for planning and conducting research in this area, the book conveys a unified view of potential directions for further industrial development. It offers an in-depth treatment of the latest perspectives on processing, compression, and analysis of digital image sequences. Research involving digital image sequences remains extremely active. The advent of economical sequence acquisition, storage, and display devices, together with the availability of computing power, opens new areas of opportunity. This volume delivers the background necessary to understand the strengths and weaknesses of current techniques and the directions that consumer and technical applications may take over the coming decade.

This comprehensive and self-contained text presents the fundamentals of optical imaging from the viewpoint of both ray and wave optics, within a single volume. Comprising three distinct parts, it opens with an introduction to electromagnetic theory, including electromagnetic diffraction problems and how they can be solved with the aid of standard numerical methods such as RCWA or FDTD. The second part is devoted to the basic theory of geometrical optics and the study of optical aberrations inherent in imaging systems, including large-scale telescopes and high-resolution projection lenses. A detailed overview of state-of-the-art optical system design provides readers with the necessary tools to successfully use commercial optical design software. The final part explores diffraction theory and concludes with vectorial wave propagation, image formation and image detection in high-aperture imaging systems. The wide-ranging perspective of this important book provides researchers and professionals with a comprehensive and rigorous treatise on the theoretical and applied aspects of optical imaging.

As more images and videos are becoming available in compressed formats, researchers have begun designing algorithms for different image operations directly in their domains of representation, leading to faster computation and lower buffer requirements. Image and Video Processing in the Compressed Domain presents the fundamentals, properties, and applications of a variety of image transforms used in image and video compression. It illustrates the development of algorithms for processing images and videos in the compressed domain. Developing concepts from first principles, the book introduces popular image and video compression algorithms, in particular JPEG, JPEG2000, MPEG-2, MPEG-4, and H.264 standards. It also explores compressed domain analysis and performance metrics for comparing algorithms. The author then elucidates the definitions and properties of the discrete Fourier transform (DFT), discrete cosine transform (DCT), integer cosine transform (ICT), and discrete wavelet transform (DWT). In the subsequent chapters, the author discusses core operations, such as image filtering, color enhancement, image resizing, and transcoding of images and videos, that are used in various image and video analysis approaches. He also focuses on other facets of compressed domain analysis, including video editing operations, video indexing, and image and video steganography and watermarking. With MATLAB (R) codes available as a download from the CRC Press website, this book takes you through the steps involved in processing and analyzing compressed videos and images. It covers the algorithms, standards, and techniques used for coding images and videos in compressed formats.

For years scientists turned to the CRC Handbook of Laser Science & Technology for reliable data on optical materials. Out of print for several years, that standard-setting work now has a successor: the Handbook of Optical Materials.

This new handbook is an authoritative compilation of the physical properties of materials used in all types of lasers and optical systems. In it, scientist, author, and editor Dr. Marvin J. Weber provides extensive data tabulations and references for the most important optical materials, including crystals, glasses, polymers, metals, liquids, and gases. The properties detailed include both linear and nonlinear optical properties, mechanical properties, thermal properties together with many additional special properties, such as electro-, magneto-, and elasto-optic properties.

Using a minimum of narration and logically organized by material properties, the handbook's unique presentation simplifies the process of comparing different materials for their suitability in particular applications. Appendices furnish a wealth of other useful information, including lists of the many abbreviations and acronyms that proliferate in this field. The Handbook of Optical Materials is simply the most complete one-stop source available for materials data essential to lasers and optical systems.