Image Processing and Analysis
Variational, PDE, Wavelet, and Stochastic Methods
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Image Processing and Analysis by Tony F. Chan
Book DescriptionThis 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.
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Book DetailsISBN: 9780898715897
(228mm x 152mm x 18mm)
Imprint: Society for Industrial & Applied Mathematics,U.S.
Publisher: Society for Industrial & Applied Mathematics,U.S.
Publish Date: 1-Sep-2005
Country of Publication: United States
Books By Author Tony F. Chan
Multiscale and Multiresolution Methods, Paperback (November 2001)View all books by Tony F. Chan
These articles address efficient multiscale representation and scientific computation from viewpoints such as hierarchical data representations, multilevel algorithms, and algebraic homogenization. It ranges over trends in multiscale and multiresolution computation and their applications.
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