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.

This book develops the mathematical foundation of modern image processing and low-level computer vision.
Reviews
'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



Book Information
ISBN 9780898715897
Author Tony Chan
Format Paperback
Page Count 184
Imprint Society for Industrial & Applied Mathematics,U.S.
Publisher Society for Industrial & Applied Mathematics,U.S.
Weight(grams) 732g
Dimensions(mm) 253mm * 178mm * 18mm