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  1. A good and practical alternative to compressed sensing
  2. The data saving capability of “compressed sensing ” is disputed
  3. Compression, restoration, resampling, ‘compressive sensing’: fast transforms in digital imaging
  4. Advanced Digital Imaging Laboratory Using MATLAB®
  5. Introduction
  6. Digital image formation and computational imaging
  7. Image digitization
  8. Image resampling and building continuous image models
  9. Image and noise statistical characterization and diagnostics
  10. Statistical image models and pattern formation
  11. Methods of image perfecting
  12. Methods of image enhancement
  13. Image correlators for detection and localization of objects
  14. Theoretical Foundations of Digital Imaging using MATLAB
  15. How fast can one arbitrarily and precisely scale images?
  16. Digital holography is numerical reconstruction and synthesis of holograms and optical elements.
  17. Computer Generated Holograms (CGH): Principles
  18. Computer-Generated Holograms and 3D Visual Communication
  19. Computer-Generated Holograms and Optical Information Processing
  20. Digital Recording and Numerical Reconstruction of Holograms
  21. Hologram Encoding for Recording on Physical Media
  22. Holographic Transforms in Digital Computers
  23. Image Processing Methods
  24. Optical Reconstruction of Computer-Generated Holograms
  25. The book covers fast transform algorithms and applications in signal and image processing.
  26. PART 1: TRANSFORM TOUR
  27. Signal Spectral Analysis
  28. Numerical Differentiation and Integration
  29. Efficient Algorithms
  30. Index
  31. Signal Linear Transforms: Mathematical Preliminaries
  32. Discrete Fourier Transform and its Derivatives
  33. Hadamard, Walsh, Wavelet and Other Transforms
  34. Energy Compaction Capability of Transforms
  35. PART 2: APPLICATIONS AND ALGORITHMS
  36. Signal Restoration by Means of Linear Filtering
  37. Signal Resampling and Interpolation: Building Continuous Signal Models
  38. Fourier optics through the looking glass of digital computers
  39. Linking Analog and Digital Image Processing
  40. Image Recovery from Sparse Samples, Discrete Sampling Theorem, and Sharply Bounded Band-Limited Discrete Signals
  41. Fast DCT-based algorithms for signal convolution and translation
  42. Fast Transforms for Digital Holography
  43. Surface roughness measurement by digital speckle correlation
  44. Algorithm for reconstruction of digital holograms with adjustable magnification
  45. Digital Holography and Digital Image Processing
  46. Digital Representation of Signal Transformations
  47. Methods of Digital Filtering
  48. Digital Representation of Signals
  49. Fast Transforms
  50. Optical Signals and Transforms
  51. Image Resampling and Geometrical Transformations
  52. Nonlinear Filters in Image Processing
  53. Computer Generated Holograms
  54. Statistical Computation Methods and Algorithms
  55. Introduction
  56. Target Locating in Clutter
  57. Signal Parameter Estimation and Measurement. Object Localization
  58. Sensor Signal Perfecting, Image Restoration, Reconstruction and Enhancement
  59. Digital holography: 30 years later
  60. Transform domain approaches for image denoising
  61. Fundamentals of Digital Optics
  62. Digital Representation of Signal Transformations
  63. Digital Statistical Simulation and Measurements
  64. Digital Representation of Optical Signals
  65. Synthesis of Holograms
  66. Introduction
  67. Elements of Signal Theory
  68. Efficient Computational Procedures for Digital Filtering
  69. Linear and Rank Adaptive Filters for Picture Processing
  70. Adaptive Linear Filters for Objects Localization in Pictures
  71. Discrete Orthogonal Transforms and Fast Algorithms in a Matrix Representation
  72. Correlational accumulation as a method for signal restoration
  73. Correcting Imaging Systems
  74. Digital Picture Processing
  75. Introduction
  76. Conclusion
  77. Digital Statistical Methods
  78. Picture Enhancement and Preparation
  79. Elements of Signal Theory
  80. Discretization and Quantization of Signals
  81. Linear Transform Algorithms
  82. Discrete Representations of Linear Transforms
  83. Measuring the Coordinates of Objects in Pictures
  84. Digital Computational Imaging