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.002a" src="https://static.hindawi.com/articles/mpe/volume-2014/790547/figures/790547.fig.002a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Iterations versus PSNR (dB)</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="790547.fig.002b" src="https://static.hindawi.com/articles/mpe/volume-2014/790547/figures/790547.fig.002b.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>Denoising performance comparisons on the Lena image with different method.</table>

Mathematical Problems in Engineering

fig2

Figure 2

Figure 2: 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 2

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