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. |
Contents
SIGNALS SYSTEMS AND THE FOURIER TRANSFORM | 1 |
THE ZTRANSFORM | 65 |
THE DISCRETE FOURIER TRANSFORM | 136 |
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2-D filter a(n₁ algorithm applications b(n₁ bit rate cepstrum circular convolution coder codeword coefficients color complex cepstrum computational procedure contours convolution correlation d(n₁ degraded denote determine digital filters discrete Fourier transform discussed in Section domain edge edge detection error example f(n₁ filter design Fourier transform frame frequency response g(n₁ given h(n₁ H(w₁ IEEE Trans IIR filter image coding image processing image restoration impulse response input intensity interpolation inverse iterative k₁ k₂ linear lowpass filter LSI system median filter method N-point n₁ n₂ noise nonlinear obtained original image output parameters pixels polynomial problem Proc processed image reconstruction levels recursively region of support result scalar sequence x(n₁ shown in Figure signal processing spatial spectral estimation stability stopband subimage Theorem typically v(n₁ variables vector quantization w(n₁ w₁ w₂ Wiener filter window X(k₁ x(n₁ X(w₁ y(n₁ z-transform z₁ z₂ zero zero-phase Σ Σ Ոշ