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Table 9 MSSIM comparison for 90% noise

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

  AMF AWMF SAMF [21] [20] Proposed
Banana 0.718 0.619 0.827 0.836 0.768 0.834
Briefcase 0.528 0.464 0.652 0.656 0.565 0.674
Brush 0.64 0.576 0.672 0.676 0.692 0.767
Coffee 0.657 0.58 0.786 0.791 0.703 0.811
Egg 0.713 0.625 0.82 0.843 0.758 0.833
Flower 0.582 0.496 0.757 0.785 0.641 0.779
Golf cart 0.455 0.405 0.566 0.599 0.49 0.591
Grater 0.627 0.543 0.75 0.77 0.674 0.768
Kettle 0.61 0.538 0.735 0.753 0.659 0.758
Lena 0.6 0.516 0.74 0.765 0.65 0.754
Camera 0.635 0.562 0.751 0.786 0.684 0.771
Average 0.615 0.539 0.732 0.751 0.662 0.758