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D. Sundararajan
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Digital Image Processing: A Signal Processing and Algorithmic Approach 1st ed. 2017 Edition, Kindle Edition

by D. Sundararajan (Author) Format: Kindle Edition
4.2 out of 5 stars 3
See all formats and editions

This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.

Previous page
  1. ISBN-13
    978-9811061127
  2. Edition
    1st ed. 2017
  3. Sticky notes
    Not Enabled
  4. Publisher
    Springer
  5. Publication date
    October 12, 2017
  6. Language
    English
  7. File size
    38316 KB
  8. See all details
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Editorial Reviews

Review

"This textbook treats the topic from the very practical point of view,using a signal processing and algorithmic, approach. This means plentyof numerical examples, figures, tables, and algorithms, and no theoremsand proofs. Such an approach makes the book easy to follow by a reader.... This textbook is intended for engineers and computer scienceprofessionals. It can be useful for undergraduate and graduate levelcourses, and for self-study." (Agnieszka Lisowska, zbMATH 1392.94002,2018)

From the Back Cover

This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.

Product details

  • ASIN ‏ : ‎ B076DRK2GD
  • Publisher ‏ : ‎ Springer; 1st ed. 2017 edition (October 12, 2017)
  • Publication date ‏ : ‎ October 12, 2017
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 38316 KB
  • Text-to-Speech ‏ : ‎ Enabled
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Sticky notes ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 733 pages
  • Customer Reviews:
    4.2 out of 5 stars 3

About the author

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D. Sundararajan

D. Sundararajan

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D. Sundararajan is a full-time author in signal processing and related areas. In addition, he conducts workshops on image processing, MATLAB and LATEX. Visiting appointments are acceptable. He was formerly associated with Concordia University, Montreal, Canada and other universities and colleges in India & Singapore. He holds a M.Tech degree in Electrical Engineering from Indian Institute of Technology, Chennai, India and a Ph.D degree from Concordia university, Montreal, Canada.

His specialization is in signal and image processing. He holds a US, a Canadian and

a British Patent related to discrete Fourier transform algorithms. He has written seven books, the latest being Introductory Circuit Theory' published by Springer (2019). He has published papers in IEEE transactions and conferences. He has also worked in research laboratories in India, Singapore and Canada. He is a Canadian citizen by naturalization.

Customer reviews

4.2 out of 5 stars
4.2 out of 5
3 global ratings

Top review from the United States

Mark
5.0 out of 5 stars My reference for the image libraries I use
Reviewed in the United States on February 23, 2019
Verified Purchase
This is the exact book I was looking for.... looking for a book that provides the theory and mathematical explanations of the tools I tools such as in python scikits image
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