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The Essential Guide to Image Processing

Bovik, Alan C. 2009

  • A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field
  • A CD-ROM contains 70 highly interactive demonstration programs with user friendly interfaces to provide a visual presentation of the concepts
  • Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000

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 and iris recognition and medical imaging. To help learn the concepts and techniques, the book contains a CD-ROM of 70 highly interactive visual demonstrations. Key algorithms and their implementation details are included, along with the latest developments in the standards.

"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-orientated 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



* 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
* A CD-ROM contains 70 highly interactive demonstration programs with user friendly interfaces to provide a visual presentation of the concepts
* Up-to-date content, including statistical modelling of natural, anisotropic diffusion, image quality and the latest developments in JPEG 2000


Why Read This Book

You should read this book if you want a modern, application-oriented bridge between classical image processing and the DSP techniques used in research and products (wavelets, compression, statistical modelling). It gives clear treatments of practical algorithms and includes many demonstration programs so you can see and test concepts quickly.

Who Will Benefit

Engineers or graduate students with basic DSP background who need a solid, application-focused reference on image filtering, compression (JPEG2000), denoising, and biometric/medical imaging algorithms.

Level: Intermediate — Prerequisites: Basic signals and systems, linear algebra, probability/statistics, and familiarity with MATLAB (recommended for running the demos).

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Key Takeaways

  • Understand image formation, sampling, and common noise models used in image DSP
  • Implement spatial and frequency-domain filtering and basic image-restoration algorithms
  • Apply wavelet transforms and multiresolution techniques, including principles behind JPEG2000
  • Use statistical models for texture analysis, denoising, and image-quality assessment
  • Design or evaluate practical systems for watermarking and biometric recognition (face, fingerprint, iris)
  • Explore advanced PDE-based methods such as anisotropic diffusion for edge-preserving smoothing

Topics Covered

  1. Introduction and overview of image processing
  2. Image formation, sampling, and basic transforms
  3. Intensity transformations and point operations
  4. Spatial-domain filtering and morphological processing
  5. Frequency-domain methods and the FFT in imaging
  6. Image restoration and deconvolution
  7. Image compression: JPEG and JPEG2000 (wavelet-based)
  8. Wavelets and multiresolution representations
  9. Statistical models and texture analysis
  10. Segmentation, feature extraction, and pattern recognition
  11. Anisotropic diffusion and PDE-based methods
  12. Image quality assessment and metrics
  13. Watermarking and content protection
  14. Biometric and medical imaging applications
  15. Appendix: demonstration programs and software notes

Languages, Platforms & Tools

MATLABMATLAB Image Processing Toolbox (implied)CD-ROM demonstration programs (MATLAB-based)

How It Compares

Less encyclopedic than Bovik's Handbook of Image and Video Processing but more approachable for practitioners; more up-to-date on JPEG2000 and wavelets than Gonzalez & Woods' classic textbook, which is stronger on fundamentals and pedagogy.

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