Download Image Processing


Image Processing: The Fundamentals Hardcover – May 17, 2010

Author: Visit Amazon's Maria Petrou Page | Language: English | ISBN: 047074586X | Format: PDF, EPUB

Download Image Processing: The Fundamentals – May 17, 2010
Download books file now Download Image Processing: The Fundamentals – May 17, 2010 from mediafire, rapishare, and mirror link Following the success of the first edition, this thoroughly updated second edition of Image Processing: The Fundamentals will ensure that it remains the ideal text for anyone seeking an introduction to the essential concepts of image processing. New material includes image processing and colour, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency and the monogenic signal and several other new topics. These updates are combined with coverage of classic topics in image processing, such as orthogonal transforms and image enhancement, making this a truly comprehensive text on the subject. Key features: * Presents material at two levels of difficulty: the main text addresses the fundamental concepts and presents a broad view of image processing, whilst more advanced material is interleaved in boxes throughout the text, providing further reference for those who wish to examine each technique in depth. * Contains a large number of fully worked out examples. * Focuses on an understanding of how image processing methods work in practice. * Illustrates complex algorithms on a step-by-step basis, and lists not only the good practices but also identifies the pitfalls in each case. * Uses a clear question and answer structure. * Includes a CD containing the MATLAB(R) code of the various examples and algorithms presented in the book. There is also an accompanying website with slides available for download for instructors as a teaching resource. Image Processing: The Fundamentals, Second Edition is an ideal teaching resource for both undergraduate and postgraduate students. It will also be of value to researchers of various disciplines from medicine to mathematics with a professional interest in image processing
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  • Hardcover: 818 pages
  • Publisher: Wiley; 2 edition (May 17, 2010)
  • Language: English
  • ISBN-10: 047074586X
  • ISBN-13: 978-0470745861
  • Product Dimensions: 7.7 x 1.6 x 10 inches
  • Shipping Weight: 4.6 pounds (View shipping rates and policies)
  • Amazon Best Sellers Rank: #194,692 in Books (See Top 100 in Books)
    • #12 in Books > Computers & Technology > Graphics & Design > Computer Modelling > Imaging Systems
    • #32 in Books > Science & Math > Physics > Waves & Wave Mechanics
This book is a complete study guide that fits the needs of engineers as well as those of newcomers to the field. Its most important feature is the way the author allows students with a little background in mathematics to go through all the topics presented without getting lost or discouraged. The purpose is achieved with a simple but efficient strategy: an easy to follow level is the main body of the book and a lot of examples provide the reader with all the tools necesary to grasp the basics. The higher level material (advanced mathematics) is therefore not indispensable to actually understand Image Enhancement, Image Restoration, Preparation for Automatic Vision, and a little bit of Image Compression.
This is a book that many of us wanted to see in the market since long ago. Among all the published books on image processing only a few of them devote enough space to both theoretical fundamentals and practical issues.

The mathematical principles are clearly a major concern for the authors, so they are a fundamental part of the book and are very clearly explained. Moreoever, most of the fundamental principles are presented as answers to key questions frequenty posed by anyone seeking to understand the basics of image processing, what makes the book very easy to read and undestand.

Another nice distinctive characteristic of the book is the detailed explanation on practical issues and fully developed examples that allow the reader to thoroughly understand how to solve problems and how to implement the main image processing algorithms.

The book covers all the topics that one expects to find in an introductory book but also some of the more important advanced topics that have proven to be indispensable for any one aiming to understand modern image processing such as singular value decomposition, independent component analysis, multispectral image processing, homgeneous and inhomogeneous image restoration, etc.

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