Nonlocal Means-Based Denoising for Medical Images

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="438617.fig.001a" src="https://static.hindawi.com/articles/cmmm/volume-2012/438617/figures/438617.fig.001a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>At high SNR</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="438617.fig.001b" src="https://static.hindawi.com/articles/cmmm/volume-2012/438617/figures/438617.fig.001b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>At median SNR</td></tr></table></td></tr></table>

<table>At high SNR, Rician data is approximately Gaussian. At low-medium SNR, neither Gaussian nor Rayleigh is a great approximation.</table>

Computational and Mathematical Methods in Medicine

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Figure 1

Figure 1: Nonlocal Means-Based Denoising for Medical Images 