An evaluation of stochastic models for analysis and synthesis of gray-scale texture
作者： Håvard Iversen , Tor Lønnestad
DOI: 10.1016/0167-8655(94)90018-3
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摘要: Abstract Five classes of stochastic models for analysis and synthesis gray-scale texture are evaluated; Markov models, autocorrelation histogram linear autoregressive fractal spectral models. The seem to reproduce the largest number textures with highest compression rates.
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