Digital Image Processing Techniques
eBook - PDF

Digital Image Processing Techniques

  1. 372 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Digital Image Processing Techniques

About this book

Digital Image Processing Techniques is a state-of-the-art review of digital image processing techniques, with emphasis on the processing approaches and their associated algorithms. A canonical set of image processing problems that represent the class of functions typically required in most image processing applications is presented. Each chapter broadly addresses the problem being considered; the best techniques for this particular problem and how they work; their strengths and limitations; and how the techniques are actually implemented as well as their computational aspects. Comprised of eight chapters, this volume begins with a discussion on processing techniques associated with the following tasks: image enhancement, restoration, detection and estimation, reconstruction, and analysis, along with image data compression and image spectral estimation. The second section describes hardware and software systems for digital image processing. Aspects of commercially available systems that combine both processing and display functions are considered, as are future prospects for their technological and architectural evolution. The specifics of system design trade-offs are explicitly presented in detail. This book will be of interest to students, practitioners, and researchers in various disciplines including digital signal processing, computer science, statistical communications theory, control systems, and applied physics.

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Yes, you can access Digital Image Processing Techniques by Michael P. Ekstrom in PDF and/or ePUB format, as well as other popular books in Technik & Maschinenbau & Elektrotechnik & Telekommunikation. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Digital Image Processing Techniques
  3. Copyright Page
  4. Table of Contents
  5. Contributors
  6. Preface
  7. Chapter 1. Image Enhancement
  8. Chapter 2. Image Restoration
  9. Chapter 3. Image Detection and Estimation
  10. Chapter 4. Image Reconstruction from Projections
  11. Chapter 5. Image Data Compression
  12. Chapter 6. Image Spectral Estimation
  13. Chapter 7. Image Analysis
  14. Chapter 8. Image Processing Systems
  15. Author Index
  16. Subject Index