## Two-dimensional Signal and Image ProcessingNew to P-H Signal Processing Series (Alan Oppenheim, Series Ed) this text covers the principles and applications of "multidimensional" and "image" digital signal processing. For Sr/grad level courses in image processing in EE departments. |

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### Contents

SIGNALS SYSTEMS AND THE FOURIER TRANSFORM | 1 |

THE Z TRANSFORM | 65 |

THE DISCRETE FOURIER TRANSFORM | 136 |

Copyright | |

8 other sections not shown

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### Common terms and phrases

2-D filter a(nu addition applications approach approximately assumed b(nu bit rate circular convolution coder codeword complex cepstrum computational procedure Consider contours convolution correlation denote determine difference equation digital filters discrete cosine transform discrete Fourier transform discussed in Section domain edge detection error example f(nu filter design Fourier transform frame frequency response g(nu given h(nu H(zu z2 IEEE Trans IIR filter image coding image processing image restoration impulse response input interpolation iterative linear lowpass filter LSI system median filter method N-point noise nonlinear obtained original image output parameters pixels polynomial probability density function problem Proc processed image Property random process reconstruction levels reduce region of support result sampling scalar sequence x(n shown in Figure shows signal processing spatial specific spectral estimation stability stopband subimage Suppose system function Theorem two-dimensional typically variables vector quantization Wiener filter window x(nu n2 y(nu z-transform zero zero-phase