Research Article
Content-Aware Compressive Sensing Recovery Using Laplacian Scale Mixture Priors and Side Information
Figure 8
Visual comparisons on Boat image at 20% sampling ratio with measurement noise with standard deviation 5. (a) The original image; (b) AMP (PSNR = 26.00 dB, SSIM = 0.7702); (c) Turbo-AMP (PSNR = 23.89 dB, SSIM = 0.6748); (d) WaTMRI (PSNR = 27.39 dB, SSIM = 0.8192); (e) NLR-CS (PSNR = 28.81 dB, SSIM = 0.8687); (f) BM3D-AMP (PSNR = 29.09 dB, SSIM = 0.8755); (g) NL-LSM-AMP (PSNR = 29.42 dB, SSIM = 0.8861); (h) SI-LSM-AMP (PSNR = 29.67 dB, SSIM = 0.8927).
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