Vese Variational Methods in Image Processing 9781439849736

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Автор: Vese
Название: Variational Methods in Image Processing
Перевод названия: Вис: Вариационное исчисление в обработке изображений
ISBN: 9781439849736
Издательство: Taylor&Francis
Классификация:

Прикладная математика

Системы и технологии визуализации

Графические и цифровые медиа-приложения

ISBN-10: 1439849730
Обложка/Формат: Hardback
Страницы: 410
Вес: 0.72 кг.
Дата издания: 10.12.2015
Серия: Chapman & hall/crc mathematical and computational imaging sciences series
Язык: English
Иллюстрации: 10 pages/16 images follows page 134; 6 tables, black and white; 136 illustrations, black and white
Размер: 159 x 237 x 28
Читательская аудитория: Postgraduate, research & scholarly
Ключевые слова: Image processing, COMPUTERS / Computer Graphics,MATHEMATICS / Graphic Methods,TECHNOLOGY & ENGINEERING / Imaging Systems
Основная тема: Image Processing
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание:

Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve the latest challenges introduced by new image acquisition devices.

The book addresses the most important problems in image processing along with other related problems and applications. Each chapter presents the problem, discusses its mathematical formulation as a minimization problem, analyzes its mathematical well-posedness, derives the associated Euler-Lagrange equations, describes the numerical approximations and algorithms, explains several numerical results, and includes a list of exercises. MATLAB^(R) codes are available online.

Filled with tables, illustrations, and algorithms, this self-contained textbook is primarily for advanced undergraduate and graduate students in applied mathematics, scientific computing, medical imaging, computer vision, computer science, and engineering. It also offers a detailed overview of the relevant variational models for engineers, professionals from academia, and those in the image processing industry.

Variational Methods in Image Processing, Vese