Skip to main content

Table 1 Performances of the full and the reduced versions of MP-PSNR

From: DIBR-synthesized image quality assessment based on morphological multi-scale approach

  IRCCyN/IVC DIBR MCL-3D
SE Levels RMSE PCC SCC Levels RMSE PCC SCC
full MP-PSNR
 2 × 2 6 0.4101 0.8019 0.7083 8 1.3364 0.8735 0.7446
 3 × 3 5 0.3996 0.8131 0.7101 5 1.3506 0.8706 0.7228
 5 × 5 5 0.3561 0.8549 0.7759 4 1.3014 0.8805 0.7373
 7 × 7 5 0.3264 0.8796 0.8050 4 1.2600 0.8885 0.7566
 9 × 9 5 0.3263 0.8798 0.8015 3 1.2713 0.8863 0.7601
 11 × 11 4 0.3165 0.8874 0.8175 3 1.2560 0.8892 0.7691
 13 × 13 4 0.3221 0.8830 0.8021 3 1.2277 0.8945 0.7700
Reduced MP-PSNR
 2 × 2 4–6 0.3660 0.8459 0.7775 4–9 1.3033 0.8801 0.7701
 3 × 3 3–5 0.3252 0.8806 0.8185 4–6 1.3392 0.8730 0.7551
 5 × 5 3–5 0.2936 0.9039 0.8634 4–5 1.2954 0.8817 0.7820
 7 × 7 3–5 0.2931 0.9042 0.8573 2–5 1.2565 0.8891 0.7656
 9 × 9 2–4 0.2997 0.8996 0.8614 2–4 1.2759 0.8855 0.7535
 11 × 11 2–4 0.2922 0.9048 0.8684 2–4 1.2599 0.8885 0.7869
 13 × 13 2–4 0.2920 0.9050 0.8684 2–4 1.2325 0.8936 0.7821