## Linear, Non-linear, and Fuzzy Logic Based Image-resampling Techniques |

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### Contents

Introduction 1 | ix |

Linear resampling | 19 |

Nonlinear resampling | 87 |

Copyright | |

4 other sections not shown

### Common terms and phrases

analysis artifacts B-spline band-limited beat frequency bilinear interpolation center frequencies classical computed consider continuous domain convolution corresponding criterion DPSS due to resampling edge eigenvalues error example Figure filter first-order spline fourier transform fourth-order spline frequency component frequency domain frequency region fuzzy logic based gabor spectrogram gives cause gR(x gravure printing Hadamard matrix halftone dots hexagonal lattice higher-order splines IEEE indicator function interpolation function lattice sites least-squares spline Lemahieu linear resampling techniques logic based motion moire patterns moire patterns due motion detector nearest-neighbor interpolation noise non-linear resampling nyquist area objective quality measure obtain one-dimensional original image parameters partition of unity periodic lattices prolate spheroidal wave reciprocal lattice reconstruction function replicas reproduction risk images risk matrix sample values scrambling algorithm second-order spline shows signal model spectrum spheroidal wave function square lattice standard deviation temporal test image zoneplate threshold tion two-dimensional vectors visible moire patterns window