An Image Denoising Model via the Reconciliation of the Sparsity and Low-Rankness of the Dictionary Domain Coefficients | Wuhan University Journal of Natural Sciences

Open Access

Table 1

Results with different methods for PSNR and SSIM

Images	Noise level	NLM		BM3D		EPLL		Ours
Images	Noise level	PSNR/dB	SSIM	PSNR/dB	SSIM	PSNR/dB	SSIM	PSNR/dB	SSIM
Barbara		35.62	0.963 3	37.96	0.974 2	37.77	0.972 4	38.73	0.975 5
		33.31	0.933 5	34.46	0.953 7	33.79	0.946 3	34.57	0.950 7
		31.48	0.906 1	32.54	0.932 8	31.51	0.917 8	32.55	0.961 2
Starfish		37.32	0.970 0	37.24	0.969 7	37.35	0.970 0	37.62	0.968 7
		33.28	0.935 7	33.27	0.932 5	33.36	0.936 4	33.53	0.930 5
		31.09	0.904 2	31.06	0.901 9	31.14	0.905 4	31.26	0.896 2
Light		32.07	0.975 8	35.94	0.986 7	35.72	0.986 2	36.53	0.987 3
		29.71	0.950 0	31.33	0.968 3	30.78	0.965 4	31.73	0.967 4
		27.46	0.917 8	28.88	0.949 2	27.95	0.940 7	28.89	0.943 9
Parrot		37.31	0.953 7	38.62	0.962 7	39.18	0.962 8	39.31	0.962 5
		34.04	0.906 6	34.95	0.936 6	35.51	0.935 4	35.56	0.926 3
		31.99	0.854 6	32.97	0.917 5	33.59	0.915 9	33.40	0.893 6
Kodim		36.98	0.958 6	38.59	0.970 2	38.18	0.966 6	38.89	0.970 3
		33.27	0.911 8	34.85	0.942 0	34.56	0.939 0	34.80	0.934 6
		31.03	0.859 2	32.73	0.915 9	32.43	0.909 8	32.45	0.898 1
Lena		36.99	0.958 7	38.55	0.970 0	38.72	0.968 3	39.15	0.970 0
		33.26	0.907 7	34.72	0.945 2	34.94	0.940 3	35.05	0.936 8
		31.28	0.858 8	32.59	0.921 4	32.82	0.913 5	32.64	0.904 7

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