TV+TV<sup><b>2</b></sup> Regularization with Nonconvex Sparseness-Inducing Penalty for Image Restoration

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="790547.fig.004a" src="https://static.hindawi.com/articles/mpe/volume-2014/790547/figures/790547.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Iterations versus ISNR (dB)</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="790547.fig.004b" src="https://static.hindawi.com/articles/mpe/volume-2014/790547/figures/790547.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Iterations versus SSIM</td></tr></table></td></tr></table>

<table>Deblurring performance comparisons on the Goldhill image with different method.</table>

Mathematical Problems in Engineering

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Figure 4

Figure 4: TV+TV<sup><b>2</b></sup> Regularization with Nonconvex Sparseness-Inducing Penalty for Image Restoration 

Mathematical Problems in Engineering

TV+TV2 Regularization with Nonconvex Sparseness-Inducing Penalty for Image Restoration

Figure 4

TV+TV² Regularization with Nonconvex Sparseness-Inducing Penalty for Image Restoration