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Sinopsis
This is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds in science and engineering. Mathematical prerequisites are first courses in analysis, geometry, linear algebra, probability theory, and Fourier analysis. The authors concentrate on presenting easily implementable and fast solution algorithms. With examples and exercised throughout, the book will provide the reader with the appropriate background for a clear understanding of the essence of inverse problems (ill-posedness and its cure) and, consequently, for an intelligent assessment of the rapidly growing literature on these problems.
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Críticas
"This is an essential book for all those interested imaging systems and the image derived from them ... I would like to take this opportunity to congratulate the authors on an excellent publication which should find a wide audience in an area of application mathematics that is becoming increasingly important." Jonathan Blackledge, Mathematics Today "Although this valuable book is both an introduction into a modern field and instruction for the solution of difficult identification problems in imaging and metrology. It can be recommended to all students, scientists and engineers who are interested in the state of the art of solving inverse problems or who are practically dealing with modern approaches of image processing such as active vision." Optics and Laser Technology s an essential book for all those interested imaging systems and the image derived from them ... I would like to take this opportunity to congratulate the authors on an excellent publication which should find a wide audience in an area of application mathematics that is becoming increasingly important." Jonathan Blackledge, Mathematics Today "Although this valuable book is both an introduction into a modern field and instruction for the solution of difficult identification problems in imaging and metrology. It can be recommended to all students, scientists and engineers who are interested in the state of the art of solving inverse problems or who are practically dealing with modern approaches of image processing such as active vision." Optics and Laser Technology
Reseña del editor
This is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds in science and engineering. Mathematical prerequisites are first courses in analysis, geometry, linear algebra, probability theory, and Fourier analysis. The authors concentrate on presenting easily implementable and fast solution algorithms. With examples and exercised throughout, the book will provide the reader with the appropriate background for a clear understanding of the essence of inverse problems (ill-posedness and its cure) and, consequently, for an intelligent assessment of the rapidly growing literature on these problems.
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Introduction to Inverse Problems in Imaging
Publicado por
CRC Press LLC, 1998
ISBN 10: 0750304359
ISBN 13: 9780750304351
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Introduction to Inverse Problems in Imaging
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Routledge, 1998
ISBN 10: 0750304359
ISBN 13: 9780750304351
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Introduction to Inverse Problems in Imaging
Publicado por
CRC Press, 1998
ISBN 10: 0750304359
ISBN 13: 9780750304351
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Librería: The Maryland Book Bank, Baltimore, MD, Estados Unidos de America
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Introducing Inverse Problems in Imaging
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IOP Publishing Ltd, 1998
ISBN 10: 0750304359
ISBN 13: 9780750304351
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Librería: Imaginal Books, Sardent, Francia
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Soft cover. Condición: Good. No Jacket. From the back cover: " Introduction to Inverse Problems in Imaging is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution and practical applications in imaging. The level of mathematical prerequisites are first courses in analysis, geometry, linear algebra, probability theory and Fourier analysis. The authors concentrate on presenting easily implementable and fast solution algorithms. Images (both synthetic and real) from the Hubble Space Telescope are used to illustrate some of the methods described in the book. ". Nº de ref. del artículo: 000742
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Introduction to Inverse Problems in Imaging
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Introduction to Inverse Problems in Imaging
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paperback. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-0750304359
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