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arXiv · 1503.04253

Novel Super-Resolution Method Based on High Order Nonlocal-Means

Kang Yong-Rim·Kim Yong-Jin
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Abstract

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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BibTeXRIS

Kang Yong-Rim, Kim Yong-Jin. 2015-03-14. Novel Super-Resolution Method Based on High Order Nonlocal-Means. https://arxiv.org/abs/1503.04253

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