Digital Image Processing |
Contents
Image Models | 1 |
TwoDimensional Discrete Markovian Fields | 8 |
Advances in Mathematical Models for Image Processing | 17 |
Copyright | |
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Acoust adaptive algorithm analysis applications approximation binary bit rate block blur causal codebook coder coefficients Comput Conf contour convergence correlation covariance data compression decoder defined density displacement distortion DPCM edge edge detection encoder equations estimate example finite fractal fractal dimension frame function fuzzy sets Gaussian given gray levels IEEE IEEE Trans image coding image data image model image processing input interframe iterations Kalman Kalman filter lattice linear Markov random field matrix mean median filter method motion motion compensation noise noncausal nonlinear object obtained optimal order statistic original image output parameters picture pixels polynomials prediction error problem Proc properties reconstruction recursive regions samples scheme Section segmentation semicausal sequence shown in Fig Signal Processing spatial speckle spectral Speech stack filter statistics stochastic structure techniques texture Theorem threshold tion transform coding two-dimensional values variable variance vector quantization window zero