Essential Guide to Image Processing

£56.99

Essential Guide to Image Processing

Imaging systems and technology Digital signal processing (DSP)

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Language: English

Published by: Academic Press

Published on: 8th July 2009

Format: LCP-protected ePub

Size: 21 Mb

ISBN: 9780080922515


Introduction to Image Processing

A complete and modern introduction to the basic and intermediate concepts of image processing – edited and written by the leading people in the field.

An essential reference for all types of engineers working on image processing applications.

Up-to-date content, including statistical modelling of natural, anisotropic diffusion, image quality, and the latest developments in JPEG 2000.

Content and Coverage

This comprehensive and state-of-the-art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition, iris recognition, and medical imaging.

Introductory chapters dedicated to general principles are presented alongside detailed application-oriented ones. As a result, it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond.

Expert Contributions

"This book combines basic image processing techniques with some of the most advanced procedures. Introductory chapters dedicated to general principles are presented alongside detailed application-oriented ones. As a result, it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond." – Prof. Jean-Philippe Thiran, EPFL, Lausanne, Switzerland

"Al Bovik's compendium proceeds systematically from fundamentals to today's research frontiers. Professor Bovik, himself a highly respected leader in the field, has invited an all-star team of contributors. Students, researchers, and practitioners of image processing alike should benefit from the Essential Guide." – Prof. Bernd Girod, Stanford University, USA

"This book is informative, easy to read with plenty of examples, and allows great flexibility in tailoring a course on image processing or analysis." – Prof. Pamela Cosman, University of California, San Diego, USA

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