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)
n 1 Abstra et In this paper, we propose using the Generalized Gaussian Markov Random Field (GGMRF) image model with MAP estimation t o solve the problem of restoration for a blurred and noise corrupted image. The restoration algorithm is adapted to specific characteristics of the true image b y estimating the GGMRF shape parameter used in computing the MAP(More)
A new model adaptive method is proposed for restoration of blurred and noise corrupted images. This approach exploits information available from observed data to choose the appropriate optimization criterion and produce an approximate maximum likelihood solution. The generalized p-Gaussian family of probability distributions is used to model a wide range of(More)
OBJECTIVE To study the prevalence of hypertension and population blood pressure levels in Macao area. METHODS According to requirements set in "Manual for National Sampling Survey on Hypertension in 1991", 5,171 permanent residents aged more than 15 years in Macao area were investigated and their blood pressure measured with standardized methods and under(More)
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