An adaptive dynamically weighted median filter for impulse noise removal

EURASIP Journal on Advances in Signal Processing

Table 7 MSSIM comparison for 30% noise

	AMF	AWMF	SAMF	[21]	[20]	Proposed
Banana	0.966	0.962	0.968	0.968	0.966	0.975
Briefcase	0.927	0.918	0.933	0.933	0.926	0.941
Brush	0.949	0.945	0.897	0.893	0.949	0.963
Coffee	0.96	0.958	0.963	0.958	0.96	0.974
Egg	0.971	0.967	0.972	0.972	0.971	0.98
Flower	0.964	0.958	0.97	0.968	0.964	0.976
Golf cart	0.916	0.91	0.91	0.926	0.916	0.936
Grater	0.955	0.951	0.956	0.96	0.955	0.969
Kettle	0.948	0.944	0.957	0.956	0.948	0.965
Lena	0.953	0.947	0.958	0.958	0.953	0.966
Camera	0.958	0.953	0.961	0.963	0.958	0.971
Average	0.952	0.947	0.95	0.95	0.951	0.965