TV+TV2 Regularization with Nonconvex Sparseness-Inducing Penalty for Image Restoration
Figure 1
Comparison of Gaussian noise removal. First column from up to down: original image, noisy image (PSNR = 58.1704, MSE = 0.0998, and SSIM = 0.4210), results of the TV method (PSNR = 63.3717, MSE = 0.0521, and SSIM = 0.8224), results of the TV+TV2 method (PSNR = 63.9644, MSE = 0.0298, and SSIM = 0.8512), and results of our proposed TV+TV2+ method (PSNR = 64.1546, MSE = 0.0161, and SSIM = 0.8907). Second column: middle row slices on the blue line. Third column: 3D close-up intensity profile in the red box. Fourth column: SSIM map.
