Image Recovery: Theory and Application
eBook - PDF

Image Recovery: Theory and Application

  1. 564 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Image Recovery: Theory and Application

About this book

Image Recovery: Theory and Application focuses on signal recovery and synthesis problems. This book discusses the concepts of image recovery, including regularization, the projection theorem, and the pseudoinverse operator. Comprised of 13 chapters, this volume begins with a review of the basic properties of linear vector spaces and associated operators, followed by a discussion on the Gerchberg-Papoulis algorithm. It then explores image restoration and the basic mathematical theory in image restoration problems. The reader is also introduced to the problem of obtaining artifact-free computed tomographic reconstruction. Other chapters consider the importance of Bayesian approach in the context of medical imaging. In addition, the book discusses the linear programming method, which is particularly important for images with large number of pixels with zero value. Such images are usually found in medical imaging, microscopy, electron microscopy, and astronomy. This book can be a valuable resource to materials scientists, engineers, computed tomography technologists, and astronomers.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Image Recovery: Theory and Application by Henry Stark in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Materials Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Image Recovery: Theory and Application
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. Acknowledgments
  7. Chapter 1. Signal Restoration, Functional Analysis, and Fredholm Integral Equations of the First Kind
  8. Chapter 2. Mathematical Theory of Image Restoration by the Method of Convex Projections
  9. Chapter 3. Bayesian and Related Methods in Image Reconstruction from Incomplete Data
  10. Chapter 4. Image Restoration Using Linear Programming
  11. Chapter 5. The Principle of Maximum Entropy in Image Recovey
  12. Chapter 6. The Unique Reconstruction of Multidimensional Sequences from Fourier Transform Magnitude or Phase
  13. Chapter 7. Phase Retrieval and Image Reconstruction for Astronomy
  14. Chapter 8. Restoration from Phase and Magnitude by Generalized Projections
  15. Chapter 9. Image Reconstruction from Limited Data: Theory and Applications in Computerized Tomography
  16. Chapter 10. Computer-Assisted Diffraction Tomography
  17. Chapter 11. Applications of Convex Projection Theory to Image Recovery in Tomography and Related Areas
  18. Chapter 12. Image Synthesis: Discovery Instead of Recovery
  19. Chapter 13. The Role of Analyticity in Image Recovery
  20. Index