Combined First- and Second-Order Variational Model for Image Compressive Sensing

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="470165.fig.006a" src="https://static.hindawi.com/articles/mpe/volume-2013/470165/figures/470165.fig.006a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Lena, Noise level: 40 dB</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="470165.fig.006b" src="https://static.hindawi.com/articles/mpe/volume-2013/470165/figures/470165.fig.006b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Pepper, Noise level: 40 dB</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="470165.fig.006c" src="https://static.hindawi.com/articles/mpe/volume-2013/470165/figures/470165.fig.006c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Barbara, Noise level: 40 dB</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="470165.fig.006d" src="https://static.hindawi.com/articles/mpe/volume-2013/470165/figures/470165.fig.006d.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>Brain, Noise level: 40 dB</td></tr></table></td></tr></table>

<table>Relative errors of various methods versus sampling ratio.</table>

Mathematical Problems in Engineering

fig6

Figure 6

Figure 6: Combined First- and Second-Order Variational Model for Image Compressive Sensing 