Introduction |
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xv | |
Chapter 1 Mathematical Prerequisites |
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1 | (26) |
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1.1 Frequently used special functions |
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1 | (9) |
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1.1.1 The "rectangle" function |
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2 | (1) |
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1.1.2 The "sine" function |
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3 | (1) |
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1.1.3 The "sign" function |
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4 | (1) |
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1.1.4 The "triangle" function |
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5 | (1) |
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1.1.5 The "disk" function |
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5 | (1) |
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1.1.6 The Dirac δ function |
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6 | (3) |
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6 | (2) |
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1.1.6.2 Fundamental properties |
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8 | (1) |
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1.1.7 The "comb" function |
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9 | (1) |
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1.2 Two-dimensional Fourier transform |
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10 | (7) |
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1.2.1 Definition and existence conditions |
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10 | (1) |
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1.2.2 Theorems related to the Fourier transform |
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11 | (4) |
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13 | (1) |
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13 | (1) |
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13 | (1) |
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1.2.2.4 Parseval's theorem |
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13 | (1) |
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1.2.2.5 The convolution theorem |
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14 | (1) |
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1.2.2.6 The autocorrelation theorem |
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14 | (1) |
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1.2.2.7 The duality theorem |
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14 | (1) |
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1.2.3 Fourier transforms in polar coordinates |
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15 | (2) |
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17 | (4) |
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17 | (1) |
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1.3.2 Impulse response and superposition integrals |
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18 | (1) |
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1.3.3 Definition of a two-dimensional linear shift-invariant system |
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19 | (1) |
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20 | (1) |
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21 | (6) |
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1.4.1 Sampling a continuous function |
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21 | (2) |
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1.4.2 Reconstruction of the original function |
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23 | (2) |
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1.4.3 Space-bandwidth product |
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25 | (2) |
Chapter 2 The Scalar Theory of Diffraction |
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27 | (50) |
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2.1 Representation of an optical wave by a complex function |
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28 | (5) |
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2.1.1 Representation of a monochromatic wave |
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28 | (1) |
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2.1.2 Complex amplitude of the optical field in space |
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29 | (2) |
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29 | (1) |
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30 | (1) |
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2.1.3 Complex amplitudes of plane and spherical waves in a front plane |
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31 | (2) |
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2.1.3.1 Complex amplitude of a plane wave in a front plane |
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31 | (1) |
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2.1.3.2 Complex amplitude of a spherical wave in a front plane |
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32 | (1) |
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2.2 Scalar theory of diffraction |
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33 | (12) |
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33 | (1) |
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2.2.2 Harmonic plane wave solutions to the wave equation |
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34 | (1) |
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35 | (4) |
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2.2.4 Kirchhoff and Rayleigh-Sommerfeld formulae |
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39 | (2) |
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2.2.5 Fresnel approximation and Fresnel diffraction integral |
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41 | (2) |
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2.2.6 The Fraunhofer approximation |
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43 | (2) |
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2.3 Examples of Fraunhofer diffraction patterns |
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45 | (6) |
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2.3.1 Fraunhofer diffraction pattern from a rectangular aperture |
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45 | (1) |
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2.3.2 Fraunhofer diffraction pattern from a circular aperture |
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46 | (3) |
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2.3.3 Fraunhofer diffraction pattern from a sinusoidal-amplitude grating |
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49 | (2) |
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2.4 Some examples and uses of Fresnel diffraction |
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51 | (6) |
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2.4.1 Fresnel diffraction from a sinusoidal-amplitude grating |
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51 | (3) |
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2.4.2 Fresnel diffraction from a rectangular aperture |
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54 | (3) |
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57 | (17) |
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2.5.1 Description of an optical system by an ABCD transfer matrix |
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58 | (4) |
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2.5.2 ABCD law and paraxial systems equivalent to a lens |
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62 | (4) |
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2.5.2.1 ABCD law of a spherical wave propagating across an optical system |
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62 | (2) |
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2.5.2.2 System equivalent to a lens |
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64 | (1) |
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2.5.2.3 Properties of the transfer matrix |
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65 | (1) |
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2.5.3 Proof of Collins' formula |
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66 | (6) |
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2.5.3.1 Transmission from a thin lens |
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67 | (1) |
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2.5.3.2 Expression of the ideal image |
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68 | (2) |
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2.5.3.3 Proof of Collins' formula |
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70 | (2) |
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2.5.4 Comparison between Collins' formula and the Fresnel integral |
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72 | (2) |
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74 | (3) |
Chapter 3 Calculating Diffraction by Fast Fourier Transform |
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77 | (38) |
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3.1 Relation between the discrete and analytical Fourier transforms |
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78 | (5) |
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3.1.1 Sampling and periodic expansion of a continuous two-dimensional function |
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78 | (1) |
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3.1.2 The relation between the discrete and continuous Fourier transforms |
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79 | (4) |
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3.2 Calculating the Fresnel diffraction integral by FFT |
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83 | (9) |
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3.2.1 Calculating diffraction by the S-FFT method |
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84 | (2) |
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3.2.2 Numerical calculation and experimental demonstration |
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86 | (2) |
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88 | (1) |
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3.2.4 Practical sampling conditions due to the energy conservation principle |
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89 | (1) |
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3.2.5 Experimental demonstration of the D-FFT method |
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90 | (2) |
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3.3 Calculation of the classical diffraction formulae using FFT |
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92 | (9) |
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3.3.1 Kirchhoff and Rayleigh-Sommerfeld formulae in convolution form |
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92 | (2) |
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3.3.2 Unitary representation of the classical diffraction formulae |
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94 | (1) |
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3.3.3 Study of the sampling conditions of the classical formulae |
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95 | (2) |
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3.3.4 Example of calculations of the classical diffraction formulae |
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97 | (3) |
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3.3.5 Calculation of diffraction by convolution: summary |
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100 | (1) |
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3.4 Numerical calculation of Collins' formula |
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101 | (12) |
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3.4.1 Collin's direct and inverse formulae |
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101 | (2) |
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3.4.2 Calculating Collins' formula by S-FFT |
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103 | (2) |
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3.4.3 Calculating the inverse Collins' formula by S-FFT |
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105 | (1) |
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3.4.4 Calculating Collins' formula by D-FFT |
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106 | (2) |
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3.4.5 Calculating the inverse Collins' formula by D-FFT |
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108 | (1) |
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3.4.6 Numerical calculation and experimental demonstration |
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109 | (7) |
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3.4.6.1 Demonstration of the S-FFT and S-IFFT methods |
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110 | (1) |
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3.4.6.2 Demonstration of the D-FFT method |
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111 | (2) |
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113 | (2) |
Chapter 4 Fundamentals of Holography |
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115 | (50) |
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116 | (11) |
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4.1.1 Leith-Upatnieks holograms |
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118 | (5) |
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4.1.1.1 Illumination in the propagation direction of the original reference wave |
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120 | (1) |
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4.1.1.2 Illumination with a wave propagating along the z-axis |
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121 | (2) |
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4.1.2 Condition for the separation of the twin images and the zero order |
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123 | (4) |
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4.1.2.1 Case where the reference wave is planar |
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123 | (2) |
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4.1.2.2 The case where the reference wave is no longer planar |
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125 | (2) |
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4.2 Partially coherent light and its use in holography |
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127 | (14) |
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4.2.1 Analytic signal describing a non-monochromatic wave |
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127 | (4) |
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4.2.1.1 Analytic signal describing a monochromatic wave |
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127 | (1) |
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4.2.1.2 Analytic signal describing a non-monochromatic wave |
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128 | (1) |
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4.2.1.3 Analytic signal and spectrum of a laser wave |
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129 | (2) |
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4.2.2 Recording a hologram with non-monochromatic light |
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131 | (3) |
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4.2.3 Total coherence approximation conditions |
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134 | (5) |
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4.2.3.1 Identical wave train model |
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134 | (1) |
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4.2.3.2 Temporal coherence of a source emitting identical wave trains |
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135 | (4) |
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4.2.4 Recording a Fresnel hologram |
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139 | (2) |
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4.3 Study of the Fresnel hologram of point source |
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141 | (8) |
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4.3.1 Reconstructing the hologram of a point source |
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142 | (4) |
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4.3.1.1 Hologram illuminated by a spherical wave with the same wavelength |
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142 | (3) |
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4.3.1.2 Hologram illuminated by a spherical wave with a different wavelength |
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145 | (1) |
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4.3.1.3 Case where the reference and reconstruction waves are plane waves |
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145 | (1) |
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146 | (1) |
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4.3.2.1 Transverse magnification of the reconstructed image |
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146 | (1) |
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4.3.2.2 Longitudinal magnification |
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147 | (1) |
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4.3.3 Resolution of the reconstructed image |
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147 | (2) |
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4.3.3.1 Influence of the size of the illuminating source |
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147 | (1) |
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4.3.3.2 Influence of the spectral width of the light source |
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148 | (1) |
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4.4 Different types of hologram |
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149 | (14) |
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4.4.1 The Fraunhofer hologram |
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149 | (1) |
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4.4.2 The Fourier hologram |
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150 | (5) |
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4.4.2.1 Component Cu1 (xi, yi) |
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153 | (1) |
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4.4.2.2 Component Cu2 (xi, yi) |
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153 | (1) |
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4.4.2.3 Component Cu3 (xi, yi) |
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154 | (1) |
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4.4.2.4 Component Cu4 (xi, yi) |
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154 | (1) |
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4.4.3 The lensless Fourier hologram |
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155 | (3) |
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158 | (2) |
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160 | (3) |
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163 | (2) |
Chapter 5 Digital Off-Axis Fresnel Holography |
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165 | (72) |
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5.1 Digital off-axis holography and wavefront reconstruction by S-FFT |
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166 | (17) |
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5.1.1 Characteristics of the diffraction from a digital hologram impacted by a spherical wave |
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166 | (6) |
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168 | (1) |
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169 | (1) |
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170 | (2) |
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5.1.2 Optimization of the experimental parameters |
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172 | (1) |
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5.1.3 Experimental reconstruction by S-FFT |
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173 | (3) |
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5.1.4 Quality of the reconstructed image |
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176 | (7) |
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5.2 Elimination of parasitic orders with the S-FFT method |
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183 | (8) |
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5.2.1 Diffraction efficiency of a digital hologram |
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184 | (1) |
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5.2.2 Methods of direct elimination |
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185 | (4) |
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5.2.2.1 Method directly eliminating the object and reference waves |
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185 | (3) |
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5.2.2.2 Method with an arbitrary phase shift of the reference wave |
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188 | (1) |
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5.2.3 Method of extracting the complex amplitude of the object wave |
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189 | (2) |
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5.3 Wavefront reconstruction with an adjustable magnification |
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191 | (11) |
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5.3.1 Convolution with adjustable magnification |
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192 | (3) |
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5.3.2 Experiment with adjustable magnification |
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195 | (2) |
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5.3.3 Elimination of the perturbation due to the zero order |
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197 | (4) |
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5.3.3.1 Spectral distribution and determination of the center of the object wave |
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197 | (3) |
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5.3.3.2 Spectral position of the object wave |
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200 | (1) |
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5.3.4 Method eliminating the perturbation due to the zero order |
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201 | (1) |
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5.4 Filtering in the image and reconstruction planes by the FIMG4FFT method |
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202 | (5) |
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5.4.1 Adjustable magnification reconstruction by the FIMG4FFT method |
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203 | (4) |
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5.4.1.1 Filtering the image plane |
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203 | (2) |
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5.4.1.2 Experimental results |
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205 | (1) |
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5.4.1.3 Local reconstruction by the FIMG4FFT method |
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205 | (2) |
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5.5 DBFT method and the use of filtering in the image plane |
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207 | (5) |
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207 | (1) |
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5.5.2 Sampling of the DBFT algorithm |
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208 | (2) |
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5.5.3 Improvement of the DBFT method |
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210 | (1) |
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5.5.4 Experimental demonstration of the DDBFT method |
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211 | (1) |
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5.6 Digital color holography |
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212 | (12) |
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5.6.1 Recording a digital color hologram |
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213 | (2) |
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5.6.2 Standardization of the physical scale of reconstructed monochromatic images |
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215 | (1) |
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5.6.3 Fresnel transform with wavelength-dependant zero-padding |
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216 | (2) |
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5.6.4 Experimental study of the different methods of reconstructing color images |
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218 | (6) |
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5.6.4.1 Two-color image calculated by the zero-padding method |
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220 | (1) |
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5.6.4.2 Reconstruction by the FIMG4FFT and the DDBFT with adjustable magnification |
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221 | (1) |
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5.6.4.3 Three-color digital holography |
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222 | (2) |
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5.7 Digital phase hologram |
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224 | (5) |
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5.7.1 Formation of a digital phase hologram and reconstruction by S-FFT |
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225 | (2) |
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5.7.2 Experimental demonstration |
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227 | (2) |
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5.8 Depth of focus of the reconstructed image |
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229 | (6) |
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5.8.1 Theoretical analysis |
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229 | (2) |
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5.8.2 Comparison with a digital holographic simulation |
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231 | (2) |
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233 | (2) |
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235 | (2) |
Chapter 6 Reconstructing Wavefronts Propagated through an Optical System |
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237 | (34) |
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238 | (8) |
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6.1.1 Case of a convergent lens |
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239 | (1) |
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6.1.2 Impulse response of the process |
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240 | (6) |
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6.1.2.1 Matrix description of the digital holographic system |
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240 | (1) |
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6.1.2.2 Impulse response from the digital holographic system |
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241 | (2) |
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6.1.2.3 Experimental reconstruction with an afocal system |
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243 | (3) |
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6.2 Digital holography with a zoom |
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246 | (5) |
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6.2.1 Principle of the zoom |
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247 | (1) |
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248 | (1) |
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249 | (2) |
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6.2.4 Experimental validation |
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251 | (1) |
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6.3 Reconstructing an image by Collins' formula |
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251 | (8) |
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6.3.1 Reconstruction algorithm |
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251 | (3) |
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6.3.1.1 Experimental setup |
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251 | (1) |
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6.3.1.2 Reconstruction by calculating the inverse Collins formula |
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252 | (2) |
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6.3.2 Adjustable-magnification reconstruction after propagation across an optical system |
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254 | (5) |
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6.3.2.1 Reconstruction with an adjustable magnification in the detector space |
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255 | (2) |
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6.3.2.2 Experimental demonstration for the reconstruction of color images |
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257 | (2) |
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6.4 Using the classical diffraction formulae to reconstruct the wavefront after propagation across an optical system |
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259 | (10) |
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6.4.1 Use of the rigorous diffraction formulae |
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259 | (6) |
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6.4.1.1 Simulation of the overall process |
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260 | (4) |
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6.4.1.2 Experimental results |
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264 | (1) |
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6.4.2 Reconstruction of the object wave in the object and image spaces |
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265 | (8) |
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265 | (1) |
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6.4.2.2 Reconstruction in the image space |
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266 | (1) |
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6.4.2.3 Reconstruction in the object space |
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267 | (1) |
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6.4.2.4 Experimental results |
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268 | (1) |
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269 | (2) |
Chapter 7 Digital Holographic Interferometry and Its Applications |
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271 | (48) |
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7.1 Basics of holographic interferometry |
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273 | (9) |
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7.1.1 Reconstructing the phase of the object field |
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273 | (1) |
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7.1.2 Optical phase variations and the sensitivity vector |
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274 | (1) |
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7.1.3 Phase difference method |
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275 | (1) |
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7.1.4 Spatial filtering of the phase |
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276 | (1) |
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277 | (2) |
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7.1.6 Out-of-plane sensitivity |
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279 | (1) |
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7.1.7 In-plane sensitivity |
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280 | (1) |
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280 | (2) |
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7.1.9 Sensitivity variation across the field of view |
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282 | (1) |
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7.2 Digital holographic microscopy |
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282 | (6) |
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7.2.1 Principles and advantages |
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282 | (1) |
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283 | (2) |
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7.2.3 Reconstruction of the object field |
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285 | (2) |
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287 | (1) |
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7.3 Two-wavelength profilometry |
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288 | (3) |
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288 | (1) |
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7.3.2 Two-wavelength profilometry with spatio-chromatic multiplexing |
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289 | (2) |
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7.4 Digital holographic photomechanics |
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291 | (12) |
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291 | (1) |
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7.4.2 Twin-sensitivity measurement with monochromatic multiplexing |
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292 | (5) |
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292 | (1) |
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7.4.2.2 Application: polymer concrete in a three-point bending test |
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293 | (1) |
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7.4.2.3 Experimental results |
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294 | (2) |
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7.4.2.4 Comparison with finite element modeling |
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296 | (1) |
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7.4.3 Twin-sensitivity measurement with spatio-chromatic multiplexing |
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297 | (2) |
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297 | (1) |
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7.4.3.2 Application to crack detection in electrical components |
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297 | (2) |
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7.4.4 3D measurement by three-color digital holography |
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299 | (4) |
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299 | (2) |
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301 | (1) |
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7.4.4.3 Application to the study of the mechanical behavior of composite materials |
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302 | (1) |
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7.5 Time-averaged digital holography |
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303 | (6) |
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303 | (1) |
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304 | (5) |
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304 | (1) |
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7.5.2.2 Analog/digital comparison |
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305 | (2) |
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7.5.2.3 Time-averaged phase |
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307 | (2) |
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7.6 Tracking high-amplitude vibrations |
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309 | (5) |
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309 | (1) |
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310 | (4) |
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7.7 Three-color digital holographic interferometry for fluid mechanics |
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314 | (4) |
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314 | (3) |
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7.7.2 Application to turbulent flows |
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317 | (1) |
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318 | (1) |
Appendix. Examples of Digital Hologram Reconstruction Programs |
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319 | (20) |
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A1.1 Diffraction calculation using the S-FFT algorithm |
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319 | (4) |
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A1.1.1 Code for the program: LIM1.m |
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319 | (2) |
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A1.1.2 Examples of diffraction calculations using LIM 1.m |
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321 | (2) |
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A1.2 Diffraction calculation by D-FFT |
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323 | (3) |
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A1.2.1 Code for the program: LIM2.m |
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323 | (2) |
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A1.2.2 Examples of diffraction calculations using LIM2.m |
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325 | (1) |
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A1.3 Simulation of a digital hologram |
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326 | (4) |
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A1.3.1 Code for the program: LIM3.m |
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326 | (3) |
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A1.3.2 Example of the calculation of a hologram with LIM3.m |
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329 | (1) |
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A1.4 Reconstruction of a hologram by S-FFT |
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330 | (3) |
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A1.4.1 Code for the program: LIM4.m |
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330 | (2) |
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A1.4.2 Example of reconstruction with LIM4.m |
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332 | (1) |
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A1.5 Adjustable-magnification reconstruction by D-FFT |
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333 | (6) |
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A1.5.1 Code for the program: L1M5.m |
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333 | (3) |
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A1.5.2 Example of adjustable-magnification reconstruction with LIM5.rn |
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336 | (3) |
Bibliography |
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339 | (16) |
Index |
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355 | |