Multiplicative Noise Removal Based on the Linear Alternating Direction Method for a Hybrid Variational Model

Table 1

The denoising results for different algorithms corresponding to three noise levels.

Image		AA model		[6]		[12]		The new model
		PSNR	Time	PSNR	Time	PSNR	Time	PSNR	Time
Boat	3	21.28	12.23	21.94	24.74	21.92	1.61	22.48	6.83
	5	22.28	8.06	23.06	13.94	23.15	2.05	23.32	3.78
	9	23.57	5.54	24.45	6.21	24.56	6.38	24.68	4.37
Cameraman	3	21.40	11.93	22.34	19.39	23.01	13.68	23.01	16.59
	5	22.44	8.25	23.57	9.87	24.04	1.98	24.22	17.26
	9	23.89	25.96	25.19	9.91	25.70	13.09	25.64	17.00
House	3	22.73	14.22	22.73	27.64	23.22	27.84	23.89	16.59
	5	24.21	10.43	24.54	24.54	24.70	27.01	25.47	17.02
	9	25.74	7.05	26.01	25.07	26.25	21.90	26.70	16.86
Lena	3	21.42	11.80	22.79	22.09	23.03	1.82	23.22	3.18
	5	22.93	8.02	24.21	11.21	24.41	1.03	24.53	3.79
	9	24.33	6.87	25.88	10.61	25.94	4.64	26.03	2.72
Pepper	3	21.40	11.63	23.02	28.83	22.85	1.3	23.69	2.44
	5	22.94	8.45	24.56	14.07	24.43	1.55	24.89	2.81
	9	24.75	5.89	26.19	14.09	25.92	1.58	26.31	2.14
Toys	3	25.05	9.61	26.03	26.88	26.34	1.69	26.80	2.39
	5	26.40	6.70	27.45	16.15	27.60	1.11	27.71	3.20
	9	27.87	4.84	29.03	23.24	29.09	1.53	29.22	3.60
Fields	3	24.54	15.17	24.01	24.86	24.32	4.75	24.92	6.75
	5	25.49	10.79	25.94	24.51	25.67	6.23	26.33	3.06
	9	26.58	7.14	27.02	24.81	26.83	2.82	27.43	2.90
Nimes	3	23.90	4.40	24.59	26.00	24.79	1.22	24.84	1.21
	5	25.02	2.60	25.44	1.45	25.82	1.55	25.85	1.01
	9	26.57	1.63	26.93	1.60	27.12	2.18	27.40	1.01
Synthetic image	3	27.64	6.61	28.21	25.32	28.87	23.47	28.92	16.57
	5	29.12	4.92	29.80	27.34	30.40	28.65	30.52	17.00
	9	31.03	3.18	31.71	16.50	32.36	16.75	32.44	17.28