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A model for image patch-based algorithms

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A model for image patch-based algorithms
An empirical study of the domain of patch-based learning algorithms for image and video processing is conducted. As patch-based algorithms are commonly used, knowledge of the properties of xed size image patches would prove particularly useful and interesting. We are concerned with investigating the overall distribution of vectorized patches of general images. A multivariate distribution model is proposed and analyzed using various techniques, which include univariate histograms and modi ed k-nearest neighbors. The model is veri ed and an application using the distribution model is introduced and compared.
Karl S. Ni, Truong Q. Nguyen
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Karl S. Ni, Truong Q. Nguyen
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