Group-based single image super-resolution with online dictionary learning

Lu, Xuan; Wang, Dingwen; Shi, Wenxuan; Deng, Dexiang

doi:10.1186/s13634-016-0380-9

EURASIP Journal on Advances in Signal Processing

Table 1 Comparisons of peak signal-to-noise ratio(PSNR) values, structural similarity (SSIM) values, and feature similarity (FSIM) values for 15 test images with different super-resolution approaches

From: Group-based single image super-resolution with online dictionary learning

Image		Bi-cubic	Yang et al. [20]	Glasner et al. [15]	ASDS [13]	Proposed
Avion	PSNR	27.01	29.13	28.48	3 1.6 2	30.92
	SSIM	0.875	0.905	0.918	0.934	0.9 3 6
	FSIM	0.863	0.902	0.907	0.930	0.9 3 6
Barnfall	PSNR	29.16	30.14	29.88	3 0.7 6	30.51
	SSIM	0.716	0.780	0.763	0.783	0.7 8 8
	FSIM	0.825	0.895	0.862	0.893	0.8 9 9
Blueeye	PSNR	33.39	34.00	35.28	36.37	3 6.7 5
	SSIM	0.923	0.923	0.939	0.939	0.9 4 4
	FSIM	0.946	0.957	0.960	0.962	0.9 6 8
Butterfly	PSNR	28.51	30.13	29.85	3 2.2 2	31.51
	SSIM	0.855	0.894	0.902	0.921	0.9 2 6
	FSIM	0.909	0.930	0.935	0.947	0.9 5 0
Cactusflower	PSNR	25.48	26.67	26.34	2 7.4 7	26.95
	SSIM	0.658	0.763	0.728	0.749	0.7 6 4
	FSIM	0.793	0.877	0.844	0.863	0.8 8 5
Cameraman	PSNR	25.55	26.83	26.68	2 8.6 8	27.94
	SSIM	0.827	0.862	0.869	0.892	0.8 9 9
	FSIM	0.821	0.883	0.864	0.9 0 8	0.901
Colomtn	PSNR	27.44	28.33	27.93	2 8.8 0	28.67
	SSIM	0.685	0.747	0.729	0.749	0.7 5 7
	FSIM	0.807	0.877	0.841	0.876	0.8 8 6
Desert	PSNR	24.10	24.86	24.89	2 5.5 9	25.41
	SSIM	0.677	0.757	0.737	0.780	0.7 8 6
	FSIM	0.812	0.879	0.852	0.890	0.8 9 6
Frog	PSNR	31.42	32.74	32.78	3 4.4 5	34.27
	SSIM	0.895	0.920	0.927	0.937	0.9 4 4
	FSIM	0.894	0.931	0.924	0.945	0.9 5 3
Goldgate	PSNR	33.05	34.46	34.05	3 5.4 8	35.10
	SSIM	0.873	0.899	0.907	0.908	0.9 1 2
	FSIM	0.877	0.919	0.909	0.922	0.9 2 5
House	PSNR	26.53	28.40	28.14	3 0.3 3	29.61
	SSIM	0.817	0.863	0.865	0.892	0.8 9 4
	FSIM	0.835	0.886	0.888	0.913	0.9 1 9
London	PSNR	29.27	31.32	30.34	3 3.2 8	33.13
	SSIM	0.850	0.894	0.894	0.915	0.9 1 9
	FSIM	0.837	0.903	0.877	0.9 1 9	0.918
Lostlake	PSNR	27.60	28.81	28.37	2 9.7 1	29.30
	SSIM	0.749	0.806	0.795	0.819	0.8 2 4
	FSIM	0.839	0.896	0.877	0.903	0.9 0 7
Parrot	PSNR	28.93	31.21	30.19	3 4.0 5	32.92
	SSIM	0.911	0.926	0.939	0.945	0.9 4 9
	FSIM	0.917	0.948	0.938	0.9 5 9	0.957
Redrock	PSNR	27.33	28.51	28.12	2 9.3 5	29.11
	SSIM	0.773	0.834	0.820	0.847	0.8 5 1
	FSIM	0.820	0.889	0.858	0.8 9 4	0.893

The data in italics indicates the best PSNR/SSIM/FSIM result

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