Super-Resolution Generalizing Nonlocal-Means and Kernel Regression
نویسندگان
چکیده
Super-resolution without explicit sub-pixel motion estimation is a very active subject of image reconstruction containing general motion. The Non-Local Means (NLM) method is a simple image reconstruction method without explicit motion estimation. In this paper we generalize NLM method to higher orders using kernel regression can apply to super-resolution reconstruction. The performance of the generalized method is compared with other methods.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1503.04253 شماره
صفحات -
تاریخ انتشار 2015