Optical and Digital Image Processing
eBook - ePub

Optical and Digital Image Processing

Fundamentals and Applications

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Optical and Digital Image Processing

Fundamentals and Applications

About this book

In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Besides focusing on joint research, it also aims at disseminating the knowledge existing in both domains. Applications covered include image restoration, medical imaging, surveillance, holography, etc...


"a very good book that deserves to be on the bookshelf of a serious student or scientist working in these areas."
Source: Optics and Photonics News

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Yes, you can access Optical and Digital Image Processing by Gabriel Cristobal,Peter Schelkens,Hugo Thienpont in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Related Titles
  3. Copyright
  4. Foreword
  5. Editors
  6. Preface
  7. Acknowledgments
  8. List of Contributors
  9. Color Plates
  10. Chapter 1: Fundamentals of Optics
  11. Chapter 2: Fundamentals of Photonics
  12. Chapter 3: Basics of Information Theory
  13. Chapter 4: Fundamentals of Image Processing
  14. Chapter 5: Joint Spatial/Spatial-Frequency Representations
  15. Chapter 6: Splines in Biomedical Image Processing
  16. Chapter 7: Wavelets
  17. Chapter 8: Scale-Space Representations for Gray-Scale and Color Images
  18. Chapter 9: Spatial Light Modulators (SLMs)
  19. Chapter 10: Holographic Visualization of 3D Data
  20. Chapter 11: Holographic Data Storage Technology
  21. Chapter 12: Phase-Space Rotators and their Applications in Optics
  22. Chapter 13: Microscopic Imaging
  23. Chapter 14: Adaptive Optics in Microscopy
  24. Chapter 15: Aperture Synthesis and Astronomical Image Formation
  25. Chapter 16: Display and Projection
  26. Chapter 17: 3D Displays
  27. Chapter 18: Linking Analog and Digital Image Processing
  28. Chapter 19: Visual Perception and Quality Assessment
  29. Chapter 20: Digital Image and Video Compression
  30. Chapter 21: Optical Compression Scheme to Simultaneously Multiplex and Encode Images
  31. Chapter 22: Compressive Optical Imaging: Architectures and Algorithms
  32. Chapter 23: Compressed Sensing: ā€œWhen Sparsity Meets Samplingā€
  33. Chapter 24: Blind Deconvolution Imaging
  34. Chapter 25: Optics and Deconvolution: Wavefront Sensing
  35. Chapter 26: Image Restoration and Applications in Biomedical Processing
  36. Chapter 27: Optical and Geometrical Super-Resolution
  37. Chapter 28: Super-Resolution Image Reconstruction considering Inaccurate Subpixel Motion Information
  38. Chapter 29: Image Analysis: Intermediate-Level Vision
  39. Chapter 30: Hybrid Digitalā€“Optical Correlator for ATR
  40. Chapter 31: Theory and Application of Multispectral Fluorescence Tomography
  41. Chapter 32: Biomedical Imaging Based on Vibrational Spectroscopy
  42. Chapter 33: Optical Data Encryption
  43. Chapter 34: Quantum Encryption
  44. Chapter 35: Phase-Space Tomography of Optical Beams
  45. Chapter 36: Human Face Recognition and Image Statistics using Matlab
  46. Chapter 37: Image Processing for Spacecraft Optical Navigation
  47. Chapter 38: ImageJ for Medical Microscopy Image Processing: An Introduction to Macro Development for Batch Processing
  48. Index