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Digital Image Processing: An Algorithmic Approach

Madhuri A. Joshi

ISBN 10: 8120329716 / ISBN 13: 9788120329713
Published by PHI Learning, 2009
New Condition: New Soft cover
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This introduction to the fundamental concepts and methodologies of image processing is suitable for first-year postgraduate and senior undergraduate students in almost any engineering discipline, and in particular meets the requirement of the prescribed courses in the following streams: * Electronics and Communication. * Computer Science and Engineering. * Information and Communication Technology. The book offers a balanced exposition of basic principles and applications of image processing. It lays considerable emphasis on the algorithmic approach in order to teach students how to write good practical programs for problem solving CONTENTS: Foreword. Preface. 1.Digital Image Processing. 2.Different Image Transforms. 3.Image Enhancement. 4.Restoration. 5.Image Analysis. 6.Applications of Image Processing. 7.Image Coding and Image Compression. 8.Computer Tomography. 9.C Programs. Appendix A:Algorithm for Hadamard Transforms. Appendix B:Examples of Watermarking Using a Block Transform. References. Index. Printed Pages: 356. Bookseller Inventory # 11592

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Bibliographic Details

Title: Digital Image Processing: An Algorithmic ...

Publisher: PHI Learning

Publication Date: 2009

Binding: Softcover

Book Condition:New

Edition: First edition.

About this title

Synopsis:

This introduction to the fundamental concepts and methodologies of image processing is suitable for first-year postgraduate and senior undergraduate students in almost any engineering discipline, and in particular meets the requirement of the prescribed courses in the following streams: electronics and communication; computer science and engineering; and, information and communication technology. The book offers a balanced exposition of basic principles and applications of image processing. It lays considerable emphasis on the algorithmic approach in order to teach students how to write good practical programs for problem solving. The major topics covered include: image fundamentals; different image transforms; image enhancement in the spatial and frequency domains; restoration; image analysis; image description; image compression, and image reconstruction from projections; and, applications of image processing in the areas of biometrics, speaker recognition, satellite imaging, medical imaging, and many more. The style of presentation is comprehensive and application oriented, comprising examples, diagrams, image results, case studies of applications, and review questions - making it easy for students to understand key ideas, their practical relevance and applications.

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