Robust fuzzy scheme for Gaussian denoising of 3D color video

EURASIP Journal on Image and Video Processing

Table 3 The PSNR , MAE , and NCD criteria averaged results

Gaussian noise (VAR)			0.001	0.005	0.01	0.015	0.02	0.03	0.04	0.05
Miss America	MAE	FLRSTF	3.624	5.967	7.625	8.853	9.847	11.414	12.999	14.477
		FDARTF_G	3.549	4.542	6.126	7.453	8.465	9.832	10.822	11.694
		VMMKNN_G	4.377	6.217	8.198	9.871	11.372	13.934	16.072	17.921
		VGVDF_G	3.71	5.685	7.419	8.92	10.253	12.563	14.609	16.441
	PSNR	FLRSTF	34.303	29.73	27.573	26.267	25.328	23.998	22.827	21.888
		FDARTF_G	34.013	32.303	29.929	28.258	27.127	25.811	25.02	24.404
		VMMKNN_G	32.057	29.689	27.55	26.045	24.887	23.23	22.083	21.213
		VGVDF_G	33.048	30.384	28.383	26.921	25.789	24.111	22.847	21.85
	NCD	FLRSTF	0.013	0.021	0.027	0.031	0.034	0.039	0.044	0.049
		FDARTF_G	0.013	0.016	0.022	0.027	0.031	0.036	0.04	0.042
		VMMKNN_G	0.015	0.022	0.029	0.034	0.04	0.049	0.058	0.066
		VGVDF_G	0.013	0.021	0.027	0.033	0.037	0.046	0.053	0.06
Flowers	MAE	FLRSTF	6.011	9.866	12.013	13.823	14.911	17.142	20.408	20.664
		FDARTF_G	7.295	8.847	10.647	12.262	13.539	15.288	16.464	17.39
		VMMKNN_G	7.754	9.07	10.31	11.357	12.258	13.896	15.346	16.642
		VGVDF_G	8.04	9.588	10.786	11.736	12.571	14.036	15.331	16.459
	PSNR	FLRSTF	30.289	25.969	24.289	23.052	22.411	21.182	19.569	19.525
		FDARTF_G	28.139	26.906	25.427	24.255	23.424	22.375	21.722	21.24
		VMMKNN_G	26.128	25.324	24.523	23.858	23.303	22.347	21.564	20.907
		VGVDF_G	25.765	24.835	24.135	23.602	23.139	22.358	21.693	21.127
	NCD	FLRSTF	0.011	0.018	0.021	0.025	0.026	0.03	0.033	0.036
		FDARTF_G	0.014	0.017	0.02	0.023	0.025	0.028	0.03	0.032
		VMMKNN_G	0.014	0.016	0.018	0.02	0.021	0.023	0.025	0.027
		VGVDF_G	0.017	0.019	0.021	0.023	0.024	0.026	0.028	0.03

For the frames of the Miss America and Flowers video sequences corrupted by different Gaussian Noise levels. Numbers in italics indicate best results which agreed with the method and criteria implemented.