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Table 7 MSSIM comparison for 30% noise

From: An adaptive dynamically weighted median filter for impulse noise removal

  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