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Multivariate Myriad Filters based on Parameter Estimation of Student-$t$ Distributions. (arXiv:1810.05594v1 [math.NA])
来源于:arXiv
The contribution of this paper is twofold: First, we prove existence and
uniqueness of the weighted maximum likelihood estimator of the multivariate
Student-$t$ distribution and propose an efficient algorithm for its computation
that we call generalized multivariate myriad filter (GMMF). Second, we use the
GMMF in a nonlocal framework for the denoising of images corrupted by different
kinds of noise. The resulting method is very flexible and can handle very
heavy-tailed noise such as Cauchy noise, but also also Gaussian or wrapped
Cauchy noise. 查看全文>>