A Bias-Variance Approach for the Nonlocal Means
نویسندگان
چکیده
This paper deals with the parameter choice for the nonlocal means (NLM) algorithm. After basic computations on toy models highlighting the bias of the NLM, we study the bias-variance trade-off of this filter so as to highlight the need of a local choice of the parameters. Relying on Stein’s unbiased risk estimate, we then propose an efficient algorithm to locally set these parameters, and we compare this method with the NLM with optimal global parameter.
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ورودعنوان ژورنال:
- SIAM J. Imaging Sciences
دوره 4 شماره
صفحات -
تاریخ انتشار 2011