Fundamentals of Digital Imaging - Trussell, H. J.; Vrhel, M. J.
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Introduction to digital imaging covering core techniques of image capture and the display of monochrome and color images. Basic tools required to describe sampling and image display on real devices are presented within a powerful mathematical framework. Starting with an overview of digital imaging, mathematical representation, and the elementary display of images, the topics progressively move to quantization, spatial sampling, photometry and colorimetry, color sampling and conclude with the estimation of image model parameters, and image restoration. The characterization of input and output…mehr

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Produktbeschreibung
Introduction to digital imaging covering core techniques of image capture and the display of monochrome and color images. Basic tools required to describe sampling and image display on real devices are presented within a powerful mathematical framework. Starting with an overview of digital imaging, mathematical representation, and the elementary display of images, the topics progressively move to quantization, spatial sampling, photometry and colorimetry, color sampling and conclude with the estimation of image model parameters, and image restoration. The characterization of input and output devices is also covered. The reader will learn the processes used to generate accurate images, and appreciate the mathematical basis required to test and evaluate new devices. Contains illustrations, real-world examples, and end-of-chapter homework problems. Suitable for advanced undergraduate and graduate courses in digital imaging in electrical engineering and computer science departments. Also invaluable for practitioners in the industry. Instructor resources are available online at www.cambridge.org/9780521868532.
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Autorenporträt
H. J. Trussell is a professor and director of graduate programs in the Electrical and Computer Engineering Department at North Carolina State University. Having been awarded his PhD from the University of New Mexico, in 1976, he has many years' experience in academia and industry in the field, including Los Alamos National Laboratory, Heriot-Watt University in Edinburgh, Eastman Kodak Company in Rochester New York, and Color Savvy Systems in Ohio. His areas of specific research in image and signal processing include estimation theory, color image capture and reproduction, and image restoration. A Fellow of the IEEE, he is the recipient of two Best Paper awards with his students for papers published in the IEEE Transactions.