A Total Variation Model Based on the Strictly Convex Modification for Image Denoising

Table 1

Numerical results for synthetic image (300×300).

Algorithm	Parameters			Number of steps	CPU time (sec)	PSNR	MAE	PSNRE	SSIM
	𝜎	𝐾	𝜏
PM	30	12	0.25	232	12.73	34.23	2.84	25.26	0.9829
TV	30	n/a	0.2	203	17.86	32.79	3.76	15.76	0.9748
D-𝛼-PM	30	1	0.25	42	2.40	37.30	3.38	24.76	0.9838
PMS	30	n/a	0.20	262	12.01	35.75	2.15	25.60	0.9870
AOS	30	n/a	3.00	17	2.51	33.30	2.92	25.40	0.9839