An Adaptive Boosting Algorithm for Image Denoising

Table 2

Comparison among the denoising results (PSNR, SSIM, and DSI) of BM3D-SAPCA and the proposed algorithm.

BM3D-SAPCA(; )
	Forman			Lena			House
		SOS	OURS		SOS	OURS		SOS	OURS
10	37.52	37.54	37.54	36.02	36.05	36.02	37.01	36.95	37.01
	0.9396	0.9397	0.9398	0.9168	0.9168	0.9166	0.9274	0.9268	0.9279
	1.8436	2.0052	1.5171	3.0206	3.2788	3.2277	2.2578	2.4728	2.2514
20	34.62	34.62	34.68	33.19	33.23	33.19	33.90	33.91	33.92
	0.9054	0.9060	0.9055	0.8796	0.8804	0.8808	0.8727	0.8719	0.8735
	3.4477	3.8614	3.8084	4.9624	5.5129	5.5065	4.6415	5.0781	5.0674
25	33.69	33.77	33.81	32.22	32.22	32.23	32.96	32.92	33.02
	0.8917	0.8935	0.8935	0.8644	0.8656	0.8659	0.8588	0.8581	0.8585
	3.8153	4.3223	4.5121	5.9266	6.5503	6.8346	5.4209	6.0023	6.1307
50	30.32	30.50	30.71	29.05	29.09	29.26	29.53	29.63	29.88
	0.8402	0.8430	0.8497	0.8022	0.8053	0.8080	0.8045	0.8095	0.8162
	5.2345	5.7885	7.3369	9.6687	10.7764	13.6531	7.5772	7.9921	9.72155
	Fingerprint			Peppers			Average
		SOS	OURS		SOS	OURS		SOS	OURS
10	32.64	32.66	32.69	34.94	34.95	34.96	35.63	35.63	35.64
	0.9703	0.9704	0.9706	0.9284	0.9284	0.9280	0.9365	0.9364	0.9366
	0.7503	0.7795	0.8502	2.2488	2.4581	3.2900	2.0242	2.1989	2.2273
20	28.94	28.96	29.00	31.55	31.56	31.59	32.44	32.46	32.48
	0.9328	0.9329	0.9329	0.8868	0.8875	0.8884	0.8955	0.8957	0.8962
	6.8078	7.1170	7.4005	5.3362	5.9814	5.9419	5.0391	5.5102	5.5449
25	27.81	27.83	27.86	30.43	30.44	30.49	31.42	31.44	31.48
	0.9145	0.9146	0.9135	0.8692	0.8699	0.8706	0.8797	0.8803	0.8804
	11.629	12.163	13.8800	7.2262	7.8891	8.0591	6.8035	7.3855	7.8833
50	24.53	24.55	24.48	27.00	27.05	27.06	28.09	28.16	28.28
	0.8354	0.8360	0.8286	0.7945	0.7982	0.8005	0.8154	0.8184	0.8206
	36.143	39.1979	52.0200	16.5315	17.2333	20.4961	15.031	16.198	20.646