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Table 8 MSSIM comparison for 50% noise

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

  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