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Table 2 SSIM comparison of different MCFI algorithms

From: Texture-based block partitioning method for motion compensated frame interpolation

Sequence   OB-MCI (Han and Woods 1997) PMVS (Kim and Sunwoo 2014) VS-BMC (Choi et al. 2007) Dual ME (Kang et al. 2010) Proposed
Foreman CIF 0.9659 0.9725 0.9724 0.9739 0.9741
Akiyo 0.9953 0.9968 0.9964 0.9968 0.9975
Football 0.7439 0.7887 0.7547 0.7944 0.8118
Coastguard 0.9104 0.9514 0.9537 0.9584 0.9704
Flower 0.9502 0.9519 0.9529 0.9647 0.9649
Highway 0.9770 0.9709 0.9772 0.9690 0.9789
Mobile 0.8591 0.9278 0.8850 0.9043 0.9587
News 0.9876 0.9913 0.9891 0.9899 0.9918
Hall 0.9895 0.9808 0.9896 0.9801 0.9920
Stefan 0.9075 0.9385 0.9101 0.9368 0.9552
Silent 0.9821 0.9881 0.9734 0.9730 0.9896
Container 0.9918 0.9947 0.9971 0.9948 0.9953
Parkrun 720p 0.8802 0.9354 0.7685 0.9174 0.9554
Shields 0.9754 0.9865 0.9323 0.9883 0.9900
Stockholm 0.9550 0.9796 0.9250 0.9821 0.9842
Vidyo1 0.9963 0.9974 0.9969 0.9975 0.9978
FourPeople 0.9881 0.9891 0.9891 0.9902 0.9914
Johnny 0.9839 0.9828 0.9897 0.9903 0.9907
Bluesky 1080p 0.8901 0.9170 0.8376 0.9142 0.9511
Sunflower 0.9541 0.9688 0.9639 0.9711 0.9718
Kimono1 0.9442 0.9571 0.9423 0.9644 0.9626
ParkScene 0.9536 0.9694 0.9509 0.9662 0.9683
Average   0.9446 0.96075 0.9385 0.9599 0.9702
Average gain   0.0256 0.0094 0.0316 0.0103