Sparse Signal Reconstruction Based on Multiparameter Approximation Function with Smoothed <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-4.67648pt;width:17.487499px;" id="M1" height="20.4375" version="1.1" viewBox="0 0 17.487499 20.4375" width="17.487499">
	
		
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</svg> Norm

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="416542.fig.005a" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/416542/figures/416542.fig.005a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Original image</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="416542.fig.005b" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/416542/figures/416542.fig.005b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>SL0</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="416542.fig.005c" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/416542/figures/416542.fig.005c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>ASL0</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="416542.fig.005d" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/416542/figures/416542.fig.005d.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>RASL0</td></tr></table></td></tr><tr class="fig-image" id="e"><td><img alt="416542.fig.005e" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/416542/figures/416542.fig.005e.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(e) </b>Original image</td></tr></table></td></tr><tr class="fig-image" id="f"><td><img alt="416542.fig.005f" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/416542/figures/416542.fig.005f.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(f) </b>SL0</td></tr></table></td></tr><tr class="fig-image" id="g"><td><img alt="416542.fig.005g" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/416542/figures/416542.fig.005g.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(g) </b>ASL0</td></tr></table></td></tr><tr class="fig-image" id="h"><td><img alt="416542.fig.005h" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/416542/figures/416542.fig.005h.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(h) </b>RASL0</td></tr></table></td></tr></table>

<table>The quality of the reconstruction with different algorithms in different images. Original image.</table>

Mathematical Problems in Engineering

fig5

Figure 5

Figure 5: Sparse Signal Reconstruction Based on Multiparameter Approximation Function with Smoothed <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-4.67648pt;width:17.487499px;" id="M1" height="20.4375" version="1.1" viewBox="0 0 17.487499 20.4375" width="17.487499">
	
		
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</svg> Norm 

Mathematical Problems in Engineering

Sparse Signal Reconstruction Based on Multiparameter Approximation Function with Smoothed Norm

Figure 5