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Books > Computing & IT > Applications of computing > Image processing
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Image Processing and Analysis - Variational, PDE, Wavelet, and Stochastic Methods (Paperback, Illustrated Ed)
Loot Price: R2,726
Discovery Miles 27 260
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Image Processing and Analysis - Variational, PDE, Wavelet, and Stochastic Methods (Paperback, Illustrated Ed)
Expected to ship within 12 - 17 working days
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At no other time in human history have the influence and impact of
image processing on modern society, science, and technology been so
explosive. Image processing has become a critical component in
contemporary science and technology and has many important
applications. This book develops the mathematical foundation of
modern image processing and low-level computer vision, and presents
a general framework from the analysis of image structures and
patterns to their processing. The core mathematical and
computational ingredients of several important image processing
tasks are investigated. The book bridges contemporary mathematics
with state-of-the-art methodologies in modern image processing
while organizing the vast contemporary literature into a coherent
and logical structure. Image processing has traditionally been
built on the machinery of Fourier and spectral analysis; however,
in the past few decades numerous novel competing methods and tools
have emerged. These diversified approaches, although seemingly
distinct, are in fact intrinsically connected. The authors
integrate this diversity of modern image processing approaches by
revealing the few common threads connecting them. Some newer
emergent integration efforts have also been highlighted and
analyzed. Image Processing and Analysis is systematic and well
organized. The authors first investigate the geometric, functional,
and atomic structures of images and then rigorously develop and
analyze 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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