## Optical computing: an introductionA source on the rapidly changing field of optical computing. Readers are taken through the relevant concepts of classical and Fourier optics, digital logic and digital image processing. In addition to exploration of the basic principles, it applies the characteristics of both all-optical and electro-optic devices/systems to the solution of optical computing. Additional discussions focus on analog optical computing, digital logic and digital optical computing. Exercise problems, up-to-date references and further reading resources complete the book. |

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### Contents

Mathematical Preliminaries | 3 |

Digital Image Fundamentals | 19 |

Linear Optical Processing | 35 |

Copyright | |

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2's complement Accordingly algorithm amplitude Appl arithmetic augend autocorrelation beam binary numbers bipolar binary Bistability carry-out combination convert correlation corresponding detector device diffraction domain electronic encoded equations example FIGURE Fourier plane Fourier transform Fredkin gate frequency full adder gray level Hamming distance IEEE implementation inner product input conditions input image input vector inverse filter K-map lens Lett linear logarithmic logic circuit logic function logic gates logic operations M. A. Karim matrix Mellin transform minterms multiplication n-bit NAND NAND logic noise nonlinear number system obtained optical computing output plane overlap pair parallel partial inputs pattern perform phase pixel subcells polarization POSC processing processor realized represented residue number system result scheme sequential shift shown in Fig signal spatial filter spatial light modulator stored vector subtraction sum of weights Symbolic Substitution threshold element transmittance trinary truth table two-dimensional variables