Wai Ho Pun

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The Generalized Gaussian Markov Random Field (GGMRF) is used as an image prior model in MAP restoration of blurred and noise corrupted images. This model is adapted to characteristics of the true image by jointly estimating the true image and the GGMRF shape parameter, p , from the corrupted observation. A simple estimator for p based on sample kurtosis is(More)
A model adaptive method is proposed for restoring blurred and noise corrupted images. The generalized p-Gaussian family of probability density functions is used as the approximating parametric noise model. Distribution shape parameters are estimated from the image, and the resulting maximum likelihood optimization problem is solved. An iterative algorithm(More)
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