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Image processing based on partial differential equations - Proceedings of the International Conference on PDE-Based Image Processing and Related Inverse Problems, CMA, Oslo, August 8-12, 2005

Image processing based on partial differential equations - Proceedings of the International Conference on PDE-Based Image Processing and Related Inverse Problems, CMA, Oslo, August 8-12, 2005

von: Xue-Cheng Tai, Knut-Andreas Lie, Tony F Chan, Stanley Osher

Springer-Verlag, 2007

ISBN: 9783540332671, 449 Seiten

Format: PDF, OL

Mac OSX,Windows PC,Mac OSX,Windows PC Online-Lesen für: Linux,Mac OSX,Windows PC

Preis: 106,95 EUR

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Image processing based on partial differential equations - Proceedings of the International Conference on PDE-Based Image Processing and Related Inverse Problems, CMA, Oslo, August 8-12, 2005


 

This book publishes a collection of original scientific research articles that address the state-of-art in using partial differential equations for image and signal processing. The topics covered in this book include: level set methods for image segmentation and construction, denoising techniques, digital image inpainting, image dejittering, image registration, and fast numerical algorithms for solving these problems. The book is suitable for readers working with computer vision and visualization, image and signal processing, as well as medical imaging and numerical mathematics.

The partial differential equations used for different problems discussed in this proceeding provide some rich research topics for people working with mathematical analysis and numerical simulations. This volume collects new developments in this field and points to the newest literature results. It is good resource for people working on related problems as well as for people who are new in this field.

Written for: Researchers, graduate students and industrial experts in Computer Vision, Image and Signal Processing, Medical Imaging, Computational Mathematics and Numerical Mathematics

Keywords:
Computer vision
image processing and restoration
level set methods
numerical PDE
variational methods