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Univariate models of the Natural Scene Statistics (NSS) of perceived digital pictures have been deployed in a wide variety of image and video processing applications. However, much less effort has been made towards understanding, modeling, and using bivariate image NSS. Towards filling this gap, Su et al. developed a closed form correlation model of oriented bandpass natural images applicable to adjacent...
We introduce a method to automatically extract the spike features of the AIDS virus imaged through an electron microscope. This method detects the location of the spikes and extracts a sub-volume enclosing the spike with a sensitivity of 80%. The extracted spikes are further aligned and combined to build a 4D statistical shape model, where each voxel in the shape model is assigned a probability density...
This paper aims at developing mutual statistical descriptions of images in a visual sensor network. A two-dimensional Gaussian scale mixture (GSM) model is proposed to describe the joint distribution of wavelet coefficients in the same subband of two different images. This model is tested on two image databases, and it is shown that the proposed model always achieves a smaller divergence from the...
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