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In most field applications, broadband measurements are used where the spectral product of the source distribution and the meter’s spectral responsivity is measured. This book discusses detector-based radiometric, photometric, color, radiation-temperature, digital imaging-system, and LED measurements. It also shows that, while in photometry, the meter’s standard response covers only the visible, broadband measurements in the UV and IR require different standards. To avoid large errors when using a traditional detector- or source-standard, where the differences in the source distributions and in the meter’s responsivities produce large errors, the signal measurement procedure itself must be standardized. To satisfy the steps of the procedure, selected or properly designed meters should be used. This book is a guide to performing uniform broadband measurements with low uncertainty.
This book discusses modern, user-friendly radiometric practices that make it possible to convert from traditional source-based optical radiation measurements to the more efficient and higher accuracy detector-based applications and calibrations. It considers improved performance optical detector and radiometer standards including photometers and tristimulus colorimeters, and describes research-based design considerations, measurement of radiometric, optical, and electronic characteristics, and comparison of absolute-, transfer-, and working-standard detectors and radiometers from the ultraviolet (UV) to the infrared (IR) range. The book will serve to guide the optical radiation measurement community, researchers, manufacturers, calibration laboratories, students, and practicing engineers to switch from the old and limited-use measurement methods to the higher performance detector-based applications. The radiometer standards discussed here can be used to produce wide range radiometric, photometric, colour, and radiation temperature measurements with low uncertainty.
Digital technology now enables unparalleled functionality and flexibility in the capture, processing, exchange, and output of color images. But harnessing its potential requires knowledge of color science, systems, processing algorithms, and device characteristics-topics drawn from a broad range of disciplines. One can acquire the requisite background with an armload of physics, chemistry, engineering, computer science, and mathematics books and journals- or one can find it here, in the Digital Color Imaging Handbook. Unprecedented in scope, this handbook presents, in a single concise and authoritative publication, the elements of these diverse areas relevant to digital color imaging. The first three chapters cover the basics of color vision, perception, and physics that underpin digital color imaging. The remainder of the text presents the technology of color imaging with chapters on color management, device color characterization, digital halftoning, image compression, color quantization, gamut mapping, computationally efficient transform algorithms, and color image processing for digital cameras. Each chapter is written by world-class experts and largely self-contained, but cross references between chapters reflect the topics' important interrelations. Supplemental materials are available for download from the CRC Web site, including electronic versions of some of the images presented in the book.
Colour imaging technology has become almost ubiquitous in modern life in the form of monitors, liquid crystal screens, colour printers, scanners, and digital cameras. This book is a comprehensive guide to the scientific and engineering principles of colour imaging. It covers the physics of light and colour, how the eye and physical devices capture colour images, how colour is measured and calibrated, and how images are processed. It stresses physical principles and includes a wealth of real-world examples. The book will be of value to scientists and engineers in the colour imaging industry and, with homework problems, can also be used as a text for graduate courses on colour imaging.
2003 Paul Bunge Prize of the Hans R. Jenemann Foundation for the History of Scientific Instruments Judging the brightness and color of light has long been contentious. Alternately described as impossible and routine, it was beset by problems both technical and social. How trustworthy could such measurements be? Was the best standard of inten
Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery. - Bridges the gap between theory and practical applications - Covers modern concepts in computer vision as well as modern developments in imaging sensor technology - Presents a unique interdisciplinary approach covering different areas of modern science