TV+TV2 Regularization with Nonconvex Sparseness-Inducing Penalty for Image Restoration
Figure 3
Comparison of the blurry and noisy image restoration. First column from up to down: original image, degraded image (PSNR = 59.0771, ISNR = 0.0, MSE = 0.0804, and SSIM = 0.4112), results of the TV method (PSNR = 62.2991, MSE = 0.0401, ISNR = 3.2220, and SSIM = 0.6907), results of the TV+TV2 method (PSNR = 62.8713, MSE = 0.0344, ISNR = 3.7942, and SSIM = 0.8149), and results of our proposed TV+TV2+ method (PSNR = 63.1684, MSE = 0.0286, ISNR = 4.5042, and SSIM = 0.8547). Second column: close-up image in the red box. Third column: 3D close-up intensity profile in the red box. Fourth column: SSIM map.
