An adaptive dynamically weighted median filter for impulse noise removal

EURASIP Journal on Advances in Signal Processing

Table 8 MSSIM comparison for 50% noise

	AMF	AWMF	SAMF	[21]	[20]	Proposed
Banana	0.927	0.921	0.941	0.942	0.927	0.948
Briefcase	0.844	0.832	0.876	0.876	0.844	0.885
Brush	0.893	0.888	0.846	0.847	0.893	0.922
Coffee	0.914	0.908	0.932	0.928	0.914	0.947
Egg	0.934	0.927	0.948	0.95	0.934	0.956
Flower	0.915	0.903	0.942	0.94	0.915	0.948
Golf cart	0.819	0.808	0.836	0.86	0.819	0.866
Grater	0.9	0.892	0.916	0.925	0.9	0.931
Kettle	0.891	0.881	0.917	0.916	0.891	0.926
Lena	0.896	0.886	0.919	0.922	0.896	0.928
Camera	0.907	0.899	0.926	0.931	0.907	0.937
Average	0.895	0.886	0.909	0.912	0.895	0.927