Picture Processing and Digital FilteringThomas S. Huang Two-dimensional transfroms. Two-dimensional recursive filtering. Image enhancement and restoration. Noise considerations in digital image processing hardware. Recent advances in picture processing and digital filtering. |
Contents
Introduction By T S HUANG With 12 Figures | 1 |
TwoDimensional Nonrecursive Filters By J G FIASCONARO | 3 |
TwoDimensional Transforms By H C ANDREWS | 21 |
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algorithm amplitude response approach array B(z₁ bandwidth best approximation blur column constraint points convolution degradation differential PCM digital filters dimensional discrete domain eigenvalues equation estimate example filter design problem finite Fourier transform frequency response frequency samples given Haar IEEE IEEE Trans image coding image G image processing image restoration imaging system impulse response input inverse filter iteration linear programming problem low-pass matrix method minimize noise nonrecursive filters NYQUIST object operation optical outer product plane point spread function pseudoinverse quantization recursive filter result sample response coefficients separable separable space set of constraint shown in Fig singular value singular value decomposition Snet solution space variant spatial stability statistics Subsection T.S. HUANG techniques theorem transition band two-dimensional recursive filter two-dimensional transforms Û Û Û unit circle unit sample response variables vector window function z-transform z₁ zero Σ Σ
