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Book Cover for: Image Processing and Analysis: Variational, Pde, Wavelet, and Stochastic Methods, Tony Chan

Image Processing and Analysis: Variational, Pde, Wavelet, and Stochastic Methods

Tony Chan

This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art methodologies in modern image processing, whilst organizing contemporary literature into a coherent and logical structure. The authors have integrated the diversity of modern image processing approaches by revealing the few common threads that connect them to Fourier and spectral analysis, the machinery that image processing has been traditionally built on. The text is systematic and well organized: the geometric, functional, and atomic structures of images are investigated, before moving to a rigorous development and analysis of several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples.

Book Details

  • Publisher: Society for Industrial and Applied Mathematic
  • Publish Date: Sep 1st, 2005
  • Pages: 184
  • Language: English
  • Dimensions: 9.90in - 6.90in - 0.80in - 1.65lb
  • EAN: 9780898715897
  • Categories: Imaging Systems

Praise for this book

'A complete and very informative review of mathematical advances in image analysis in the past twenty years. Covers a wide range of techniques in a very affordable style.' Jean-Michel Morel, CMLA ENS Cachan, France
'...This book fills a niche that is quite blank at the present time: a fairly comprehensive overview of the entire area of mathematically-oriented image analysis ...' Kevin R. Vixie, Los Alamos National Laboratory