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Introduction to Inverse Problems in Imaging, M Bertero


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Автор: M Bertero
Название:  Introduction to Inverse Problems in Imaging
Перевод названия: Бертеро: Введение в универсальные проблемы обработки изображений
ISBN: 9781138434042
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1138434043
Обложка/Формат: Hardback
Вес: 0.65 кг.
Серия: Engineering
Язык: English
Размер: 234 x 156
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Image processing, TECHNOLOGY & ENGINEERING / Imaging Systems
Основная тема: Image Processing
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: 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.


      Новое издание
Introduction to inverse problems in imaging

Автор: Bertero, Mario Boccaci, Patrizia Boccacci, P.
Название: Introduction to inverse problems in imaging
ISBN: 0750304359 ISBN-13(EAN): 9780750304351
Издательство: Taylor&Francis
Цена: 10564.00 р.
Наличие на складе: Поставка под заказ.
Описание: A textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. It presents easily implementable and fast solution algorithms. It provides the reader with the background for an understanding of the essence of inverse problems (ill-posedness and its cure).


Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8

Автор: Antonio Baldi; John M. Considine; Simon Quinn; Xav
Название: Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8
ISBN: 3319874241 ISBN-13(EAN): 9783319874241
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8 of the Proceedings of the 2017 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the eighth volume of nine from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: Residual Stress Measurements Stress Analysis from Thermal Measurements Damage & Defect Analysis Using Infrared Techniques Inverse Methods in Plasticity Inverse Problem Methodologies in Experimental Mechanics

An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs

Автор: Tanimoto S., Tanimoto Steven L.
Название: An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs
ISBN: 0262017164 ISBN-13(EAN): 9780262017169
Издательство: MIT Press
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Цена: 10157.00 р.
Наличие на складе: Нет в наличии.

Описание:

This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects.

The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a "transparent" view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.

Introduction to Modern Photogrammetry

Автор: Edward M. Mikhail
Название: Introduction to Modern Photogrammetry
ISBN: 0471309249 ISBN-13(EAN): 9780471309246
Издательство: Wiley
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Цена: 38325.00 р.
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Описание: This text is designed to give students a grounding in the mathematical basis of photogrammetry while introducing them to the related fields, such as remote sensing and digital image processing, which are increasingly important to photogrammetric research and practice.

An Introduction to Object Recognition

Автор: Marco Alexander Treiber
Название: An Introduction to Object Recognition
ISBN: 1447125789 ISBN-13(EAN): 9781447125785
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This text/reference provides a comprehensive introduction to object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class.

Introduction to Image Processing Using R

Автор: Frery Alejandro C
Название: Introduction to Image Processing Using R
ISBN: 1447149491 ISBN-13(EAN): 9781447149491
Издательство: Springer
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Цена: 5589.00 р.
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Описание: This book introduces the statistical software R to the image processing community in an intuitive and practical manner. Those who are new to the field of image processing and to R software will find this work a useful introduction.

Inverse Problems

Автор: Alexander G. Ramm
Название: Inverse Problems
ISBN: 1441935851 ISBN-13(EAN): 9781441935854
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Inverse Problems is a monograph which contains a self-contained presentation of the theory of several major inverse problems and the closely related results from the theory of ill-posed problems.


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