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. |
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Contents
Introduction By T S HUANG With 12 Figures | 1 |
TwoDimensional Nonrecursive Filters By J G FIASCONARO | 3 |
References | 67 |
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algorithm amplitude response approach array bandwidth best approximation blur Chapter column constraint points convolution differential PCM digital filters dimensional discrete eigenvalues equation estimate example f₂ 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 optimal 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 solution space variant spatial stability statistics Subsection techniques theorem tion transition band two-dimensional recursive filter two-dimensional transforms Û Û Û unit circle unit sample response variables vector window function z-transform z₁ z₂ unit zero Σ Σ