A New Method of Image Denoising for Underground Coal Mine Based on the Visual Characteristics

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="362716.fig.002a" src="https://static.hindawi.com/articles/jam/volume-2014/362716/figures/362716.fig.002a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Longitudinal template convolution</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="362716.fig.002b" src="https://static.hindawi.com/articles/jam/volume-2014/362716/figures/362716.fig.002b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Horizontal template convolution</td></tr></table></td></tr></table>

<table>Schematic diagram of the separability of Gaussian function convolution.</table>

Journal of Applied Mathematics

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Figure 2: A New Method of Image Denoising for Underground Coal Mine Based on the Visual Characteristics 