Local Kernels that Approximate Bayesian Regularization and Proximal Operators.
IEEE Transactions on Image Processing(2019)
摘要
In this paper, we broadly connect kernel-based filtering (e.g., approaches such as the bilateral filter and non-local means, but also many more) with general variational formulations of Bayesian regularized least squares and the related concept of proximal operators. Variational/Bayesian/proximal formulations often result in optimization problems that do not have closed-form solutions and therefor...
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关键词
Kernel,Noise reduction,Bayes methods,Optimization,TV,Anisotropic magnetoresistance,Noise measurement
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