## Advances in Computer Vision and Image Processing, Volume 1 |

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### Contents

THE MISSING CONE PROBLEM IN COMPUTER | 3 |

Chapter 3 | 145 |

Chapter 4 | 191 |

Copyright | |

4 other sections not shown

### Common terms and phrases

2D sequence actual samples applied approach approximation ASSP assumed autocorrelation band-limited Band-Limited Signal compact operator computed convergence convex set defined defogged denotes discrete Fourier transform discrete-continuous discrete-discrete error error-reduction algorithm example extrapolation problem Fienup filter first-digit noise Fourier domain Fourier modulus frequency ft-band-limited function fuzzy set Gerchberg-Saxton algorithm given gk(x Hilbert spaces holography IEEE Trans Image Reconstruction input interpolation irreducible polynomial iterative algorithm iterative procedure known Labeyrie intensity linear matrix maximum entropy minimum-norm missing cone problem nonnegative norm number of iterations obtained operator optical phase information phase problem phase retrieval problem pixels polynomial pseudoinverse recursion region of support result sample points satisfies second-digit noise Section shown in Figure Signal Reconstruction sincn single intensity measurement solving space spatial speckle images speckle interferometry steepest descent steepest descent method Theorem two-dimensional two-step procedures unique solution values of x(m,n vector visibility intensity z-transform zero