Wavelet Domain Multidictionary Learning for Single Image Super-Resolution

Table 2

The comparisons of the proposed algorithm with other methods by a magnification factor of 2 (for each method, the values are PSNR and SSIM from left to right).

Img.	Bicubic		Dong [13]		Zeyde [12]		Yang [16]		ANR [15]		Our
Baboon	24.87	0.70	25.04	0.71	25.47	0.75	25.53	0.76	25.54	0.76	25.60	0.76
Comic	26.01	0.85	27.05	0.87	27.65	0.90	27.41	0.89	27.77	0.90	27.88	0.90
Flower	30.39	0.89	31.41	0.90	32.27	0.92	31.83	0.92	32.51	0.93	32.44	0.93
Girl	34.76	0.87	34.45	0.84	35.50	0.88	35.61	0.89	35.60	0.89	35.64	0.89
Lena	34.71	0.91	35.33	0.91	36.21	0.93	36.06	0.93	36.32	0.93	36.43	0.93
Man	29.25	0.85	29.78	0.85	30.44	0.88	30.14	0.88	30.47	0.88	30.55	0.88
Pepper	35.09	0.91	35.87	0.90	36.59	0.92	36.04	0.92	36.39	0.92	36.78	0.92
Zebra	30.65	0.91	32.16	0.92	33.21	0.94	32.6	0.94	33.07	0.94	33.50	0.94
Parrots	31.28	0.94	32.18	0.93	33.27	0.95	32.90	0.95	33.59	0.95	33.79	0.96
Parthenon	28.08	0.81	28.38	0.80	29.15	0.84	28.82	0.84	29.06	0.84	29.21	0.85
Raccoon	30.95	0.85	31.00	0.85	32.21	0.89	32.33	0.90	32.45	0.90	32.50	0.90
Avg.	30.55	0.86	31.15	0.86	32.00	0.89	31.75	0.89	32.07	0.89	32.21	0.90