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)
To elaborate on off-flavour development in dehydrated potato granules, lipids in subcellular particles and membrane systems of the tuber were investigated. Lipid acyl-hydrolase and lipoxygenase activities were suppressed in tuber homogenates by a buffer isolation medium of pH 7.8 containing nupercaine which minimized the breakdown of phospho- and(More)
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 adap ted to specific characteristics of the true image b y estimating the GGMRF shape parameter used in computing the MAP estimation.(More)
A new model adaptive method is presented for restoration of blurred and noise corrupted images by exploiting information available from observed data to choose the apprcpriate optimization criterion. The derived maximum likelihood solution is based on the 1 , minimization criterion that naturally arises from the adoption of the generalized p-Gaussian family(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)
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