£118.89

Springer Mathematical Problems in Image Processing - 2nd Edition

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Description

Explore the mathematical foundations of image analysis with this updated 2nd edition from Springer. Part of the Applied Mathematical Sciences series (Volume 147), this book provides a comprehensive look at partial differential equations and the calculus of variations as they apply to image processing. This text is designed to bridge the gap between two distinct fields. For the mathematical community, it highlights the significant contributions of mathematics to this domain and points toward unsolved theoretical questions. For the computer vision community, it offers a clear, self-contained, and global overview of the mathematics required to solve image processing problems. By reviewing precise mathematics and demonstrating how to discretize these methods, this work serves as a valuable source of reference and inspiration for researchers in applied mathematics. Whether you are studying theoretical frameworks or looking for practical applications in computer vision, this book provides the necessary tools to understand the math behind the technology.

Key Features

Updated 2nd edition that presents a wide variety of image analysis applications and their precise mathematics.

Provides clear instructions on how to discretize mathematical models for practical image processing use.

Supports the mathematical community by highlighting theoretical contributions and unsolved research questions.

Serves the computer vision community with a self-contained and global overview of essential mathematics.

Acts as a professional reference and source of inspiration for researchers in the field of Applied Mathematics.

Part of the prestigious Applied Mathematical Sciences series, volume 147, published by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 November 2010
Listed Since
14 June 2010

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No barcode data available

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