Color Image Denoising Based on Guided Filter and Adaptive Wavelet Threshold

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/acisc/volume-2017/5835020/figures/5835020.fig.0013a.svgz" name="5835020.fig.0013a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Image 1 edge</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/acisc/volume-2017/5835020/figures/5835020.fig.0013b.svgz" name="5835020.fig.0013b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Bilateral filtering</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/acisc/volume-2017/5835020/figures/5835020.fig.0013c.svgz" name="5835020.fig.0013c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Adaptive wavelet</td></tr><tr class="fig-image" id="d"><td><object data="https://static.hindawi.com/articles/acisc/volume-2017/5835020/figures/5835020.fig.0013d.svgz" name="5835020.fig.0013d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>Nonlocal means</td></tr><tr class="fig-image" id="e"><td><object data="https://static.hindawi.com/articles/acisc/volume-2017/5835020/figures/5835020.fig.0013e.svgz" name="5835020.fig.0013e" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(e) </b>BM3D</td></tr><tr class="fig-image" id="f"><td><object data="https://static.hindawi.com/articles/acisc/volume-2017/5835020/figures/5835020.fig.0013f.svgz" name="5835020.fig.0013f" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(f) </b>Proposed method</td></tr></table>

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Applied Computational Intelligence and Soft Computing

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Figure 13

Figure 13: Color Image Denoising Based on Guided Filter and Adaptive Wavelet Threshold 