Digital Image Processing

Price: 1350.00 INR

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ISBN:

9780199459353

Publication date:

27/06/2016

Paperback

736 pages

241.0x184.0mm

Price: 1350.00 INR

We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.

ISBN:

9780199459353

Publication date:

27/06/2016

Paperback

736 pages

241.0x184.0mm

Second Edition

S. Sridhar

This second edition of Digital Image Processing is designed as a textbook for undergraduate engineering students of Computer Science, Information Technology, Electronics and Communication, and Electrical Engineering. The book provides a comprehensive coverage of the fundamental and advanced concepts of digital image processing.

Suitable for: This second edition of Digital Image Processing is designed as a textbook for undergraduate engineering students of Computer Science, Information Technology, Electronics and Communication, and Electrical Engineering. The book provides a comprehensive coverage of the fundamental and advanced concepts of digital image processing.

Rights:  World Rights

Second Edition

S. Sridhar

Description

This second edition of Digital Image Processing is designed as a textbook for undergraduate engineering students of Computer Science, Information Technology, Electronics and Communication, and Electrical Engineering. The book provides a comprehensive coverage of the fundamental and advanced concepts of digital image processing. Spread over 14 chapters, the book begins with an overview of image fundamentals followed by a discussion on digital imaging systems and digital image processing operations. It then discusses core topics of interest such as image transforms, image enhancement, image restoration, image compression, image segmentation, colour image processing, and the basics of image classification and image clustering. It also provides an overview of popular and emerging research domains such as role of soft computing in image processing, image registration and fusion, image security, digital watermarking and steganography, visual effects, image compositing, image encryption, computer vision, medical image processing, image data mining, image understanding, and content-based retrieval systems. The book strikes a perfect balance between theoretical and mathematical exposition, with several numerical examples, review questions, and MATLAB programs.

Second Edition

S. Sridhar

Table of contents

  1. Introduction to Image Processing
  2. Digital Imaging Systems
  3. Digital Image Processing Operations
  4. Digital Image ¬Transforms
  5. Image Enhancement
  6. Image Restoration
  7. Image Compression
  8. Wavelet Transform and Multiresolution Analysis
  9. Image Segmentation
  10. Colour Image ¬Processing
  11. Image ¬Morphology
  12. Image Features ¬Representation and Description
  13. Object Recognition
  14. Related Topics

Second Edition

S. Sridhar

Features

• Adopts an algorithmic approach to illustrate the concepts of image processing • Provides simple explanations to topics such as Shannon-Fano coding, chain code, image security, digital image forensics, image segmentation, and image features • Contains appendices that discuss the basics of MATLAB programming and ImageJ, and provides information on other public domain image processing software • Includes a laboratory manual with examples illustrated through MATLAB New to the Second Edition • A chapter on wavelet transforms and multiresolution analysis which focuses on the wavelet transform-based image processing as well as wavelet-based image compression • Topics such as image security, visual effects, Radon transform, digital image forensics, and computer vision • Pedagogical features such as crossword and word search problems • Colour plates illustrating the effect of different image processing operations and image processing applications such as visual effects • Additional illustrations, solved examples, and MATLAB exercises Praise for the First Edition The book is suitable for qualitative understanding of image processing. –Jignesh Sarvaiya (SVNIT, Gujarat) Matlab codes in the book help students to verify their understanding of the image processing operations. –Tejaswini Kar (KIIT University, Odisha)

Description

This second edition of Digital Image Processing is designed as a textbook for undergraduate engineering students of Computer Science, Information Technology, Electronics and Communication, and Electrical Engineering. The book provides a comprehensive coverage of the fundamental and advanced concepts of digital image processing. Spread over 14 chapters, the book begins with an overview of image fundamentals followed by a discussion on digital imaging systems and digital image processing operations. It then discusses core topics of interest such as image transforms, image enhancement, image restoration, image compression, image segmentation, colour image processing, and the basics of image classification and image clustering. It also provides an overview of popular and emerging research domains such as role of soft computing in image processing, image registration and fusion, image security, digital watermarking and steganography, visual effects, image compositing, image encryption, computer vision, medical image processing, image data mining, image understanding, and content-based retrieval systems. The book strikes a perfect balance between theoretical and mathematical exposition, with several numerical examples, review questions, and MATLAB programs.

Read More

Table of contents

  1. Introduction to Image Processing
  2. Digital Imaging Systems
  3. Digital Image Processing Operations
  4. Digital Image ¬Transforms
  5. Image Enhancement
  6. Image Restoration
  7. Image Compression
  8. Wavelet Transform and Multiresolution Analysis
  9. Image Segmentation
  10. Colour Image ¬Processing
  11. Image ¬Morphology
  12. Image Features ¬Representation and Description
  13. Object Recognition
  14. Related Topics

Read More