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. Author manuscript; available in PMC: 2014 Mar 30.
Published in final edited form as: IEEE Trans Image Process. 2012 Sep 20;22(8):3192–3203. doi: 10.1109/TIP.2012.2216278

Fig. 9.

Fig. 9

Comparison of the proposed algorithm with different metrics against classical schemes: We reconstruct the 256 × 256 MRI brain image from its sparse Fourier samples. We consider an under sampling factor of 5. We choose the standard deviation of the gaussian noise that is added to the measurements such that the SNR of the measurements is 40dB. We observe that the proposed schemes that use non-convex distance metrics provide the best SNR, which is around 3 dB better than local TV. The arrows indicate the details preserved by the non-convex schemes, but missed by local TV and convex non-local algorithm.