Image denoising with morphology- and size-adaptive block-matching transform domain filtering

Hou, Yingkun; Shen, Dinggang

doi:10.1186/s13640-018-0301-y

EURASIP Journal on Image and Video Processing

Table 3 Comparison of MSSIM values obtained by BM3D, BM3D-SAPCA, and SA-BM1-3D. In each cell, the upper number is for BM3D, the middle number is for BM3D-SAPCA, while the lower number is for SA-BM1-3D

From: Image denoising with morphology- and size-adaptive block-matching transform domain filtering

σ/MSSIM	C. man	House	Peppers	Montage	Lena	Barbara	Boats	Man	Couple	Hill
5	0.9620	0.9571	0.9558	0.9823	0.9444	0.9647	0.9389	0.9543	0.9512	0.9427
	0.9629	0.9595	0.9568	0.9824	0.9461	0.9659	0.9438	0.9565	0.9529	0.9455
	0.9638	0.9604	0.9573	0.9826	0.9478	0.9664	0.9443	0.9559	0.9535	0.9455
10	0.9319	0.9218	0.9282	0.9679	0.9166	0.9421	0.8878	0.9076	0.9094	0.8834
	0.9352	0.9290	0.9287	0.9690	0.9183	0.9433	0.8924	0.9125	0.9117	0.8896
	0.9345	0.9313	0.9296	0.9694	0.9197	0.9428	0.8928	0.9121	0.9135	0.8906
15	0.9014	0.8913	0.9068	0.9539	0.8956	0.9233	0.8539	0.8672	0.8765	0.8387
	0.9096	0.8992	0.9068	0.9563	0.8982	0.9258	0.8574	0.8740	0.8784	0.8455
	0.9070	0.9029	0.9093	0.9578	0.8999	0.9258	0.8589	0.8728	0.8802	0.8452
20	0.8755	0.8726	0.8868	0.9404	0.8772	0.9054	0.8259	0.8333	0.8476	0.8040
	0.8857	0.8763	0.8874	0.9430	0.8809	0.9094	0.8290	0.8407	0.8491	0.8094
	0.8831	0.8799	0.8909	0.9451	0.8830	0.9103	0.8311	0.8388	0.8520	0.8102
25	0.8544	0.8589	0.8676	0.9262	0.8607	0.8874	0.8014	0.8047	0.8204	0.7748
	0.8642	0.8607	0.8690	0.9297	0.8650	0.8942	0.8039	0.8111	0.8215	0.7788
	0.8618	0.8648	0.8732	0.9335	0.8677	0.8951	0.8067	0.8094	0.8266	0.7808
30	0.8375	0.8480	0.8505	0.9114	0.8449	0.8687	0.7795	0.7802	0.7947	0.7504
	0.8442	0.8495	0.8520	0.9175	0.8505	0.8780	0.7824	0.7860	0.7962	0.7529
	0.8437	0.8548	0.8564	0.9222	0.8540	0.8798	0.7852	0.7833	0.8030	0.7549
35	0.8218	0.8372	0.8340	0.8962	0.8305	0.8482	0.7593	0.7579	0.7708	0.7283
	0.8276	0.8381	0.8360	0.9037	0.8373	0.8610	0.7617	0.7633	0.7730	0.7299
	0.8289	0.8466	0.8406	0.9108	0.8412	0.8637	0.7655	0.7606	0.7801	0.7328
40	0.8057	0.8256	0.8158	0.8816	0.8152	0.8225	0.7387	0.7374	0.7469	0.7069
	0.8126	0.8301	0.8222	0.8900	0.8247	0.8448	0.7433	0.7434	0.7492	0.7096
	0.8159	0.8385	0.8267	0.8995	0.8291	0.8466	0.7466	0.7405	0.7586	0.7126
50	0.7824	0.8122	0.7936	0.8614	0.7994	0.7946	0.7053	0.7056	0.7068	0.6747
	0.7868	0.8078	0.7942	0.8643	0.8014	0.8088	0.7081	0.7107	0.7079	0.6756
	0.7939	0.8274	0.8016	0.8770	0.8107	0.8171	0.7143	0.7093	0.7207	0.6803
60	0.7626	0.7941	0.7698	0.8365	0.7795	0.7589	0.6767	0.6786	0.6715	0.6470
	0.7613	0.7855	0.7688	0.8361	0.7788	0.7691	0.6773	0.6812	0.6698	0.6456
	0.7761	0.8116	0.7758	0.8540	0.7911	0.7797	0.6846	0.6814	0.6843	0.6514
70	0.7424	0.7747	0.7477	0.8116	0.7603	0.7261	0.6527	0.6548	0.6406	0.6226
	0.7226	0.7448	0.7339	0.7926	0.7401	0.7161	0.6409	0.6460	0.6237	0.6131
	0.7612	0.7999	0.7629	0.8414	0.7768	0.7508	0.6602	0.6604	0.6517	0.6265
80	0.7246	0.7557	0.7276	0.7886	0.7426	0.6966	0.6305	0.6338	0.6124	0.6009
	0.6933	0.7228	0.7079	0.7574	0.7142	0.6711	0.6180	0.6206	0.5944	0.5873
	0.7438	0.7836	0.7467	0.8232	0.7613	0.7229	0.6375	0.6403	0.6196	0.6041
90	0.7079	0.7380	0.7068	0.7667	0.7261	0.6687	0.6109	0.6154	0.5882	0.5824
	0.6696	0.7021	0.6933	0.7377	0.6949	0.6390	0.5965	0.5986	0.5701	0.5657
	0.7343	0.7730	0.7173	0.7953	0.7476	0.7076	0.6233	0.6243	0.6069	0.5905
100	0.6924	0.7203	0.6881	0.7474	0.7090	0.6430	0.5936	0.5978	0.5665	0.5650
	0.6445	0.6760	0.6726	0.7131	0.6747	0.6088	0.5789	0.5793	0.5472	0.5492
	0.7207	0.7641	0.7063	0.7865	0.7367	0.6890	0.6072	0.6112	0.5828	0.5740

Data in bold are the best results

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