For each comparison algorithms, we plot the quality in dB in function of the mean bits per pixel on a logarithmic scale. We can then visualize which codec gives the best quality at a given bit per pixel (top left is better).
In the following table, we try to find equivalences between the CRF values of the various encoders according to a selected metric. We then calculate the expected bitrate reduction for this comparable CRF value.
For example, a x264 encode at CRF 20 would give a PSNR-HVS-M of 42.80. To obtain the same quality with VP9, one should look at the intersection of CRF 20 and "libvpx crf according to psnr-hvs-m", which gives an equivent CRF of 30.60. The column "libvpx % reduction according to psnr-hvs-m" then gives the expected reduction of bitrate, -21.294%.
x264 crf | x264 bpp | x264 y-ssim | x264 rgb-ssim | x264 ms-ssim | x264 psnr-hvs-m | x264 vmaf |
---|---|---|---|---|---|---|
16 | 0.34558 | 19.90 | 18.92 | 25.30 | 46.84 | 98.52 |
17 | 0.28786 | 19.31 | 18.41 | 24.60 | 45.79 | 98.24 |
18 | 0.23879 | 18.76 | 17.92 | 23.92 | 44.77 | 97.90 |
19 | 0.19742 | 18.22 | 17.46 | 23.27 | 43.77 | 97.47 |
20 | 0.16285 | 17.71 | 17.01 | 22.64 | 42.80 | 96.93 |
21 | 0.13424 | 17.21 | 16.58 | 22.02 | 41.85 | 96.26 |
22 | 0.11082 | 16.72 | 16.16 | 21.42 | 40.92 | 95.44 |
23 | 0.09185 | 16.25 | 15.76 | 20.82 | 40.00 | 94.45 |
24 | 0.07667 | 15.79 | 15.36 | 20.23 | 39.09 | 93.28 |
x264 crf | x264 bpp | libaom crf according to y-ssim | libaom bpp according to y-ssim | libaom % reduction according to y-ssim | libaom crf according to rgb-ssim | libaom bpp according to rgb-ssim | libaom % reduction according to rgb-ssim | libaom crf according to ms-ssim | libaom bpp according to ms-ssim | libaom % reduction according to ms-ssim | libaom crf according to psnr-hvs-m | libaom bpp according to psnr-hvs-m | libaom % reduction according to psnr-hvs-m | libaom crf according to vmaf | libaom bpp according to vmaf | libaom % reduction according to vmaf |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 0.34558 | 20.06 | 0.31722 | -8.206 | 23.42 | 0.24274 | -29.76 | 20.25 | 0.31217 | -9.666 | 22.47 | 0.26128 | -24.39 | 23.31 | 0.24488 | -29.14 |
17 | 0.28786 | 23.25 | 0.24592 | -14.571 | 26.80 | 0.18969 | -34.10 | 23.31 | 0.24484 | -14.947 | 25.41 | 0.20926 | -27.31 | 25.34 | 0.21043 | -26.90 |
18 | 0.23879 | 26.50 | 0.19369 | -18.886 | 30.10 | 0.15265 | -36.07 | 26.43 | 0.19469 | -18.466 | 28.36 | 0.17069 | -28.52 | 27.62 | 0.17935 | -24.89 |
19 | 0.19742 | 29.71 | 0.15640 | -20.776 | 33.27 | 0.12633 | -36.01 | 29.53 | 0.15824 | -19.842 | 31.27 | 0.14212 | -28.01 | 30.19 | 0.15180 | -23.11 |
20 | 0.16285 | 32.84 | 0.12947 | -20.497 | 36.28 | 0.10661 | -34.53 | 32.57 | 0.13154 | -19.226 | 34.11 | 0.12039 | -26.07 | 33.00 | 0.12827 | -21.23 |
21 | 0.13424 | 35.87 | 0.10909 | -18.736 | 39.12 | 0.09074 | -32.41 | 35.53 | 0.11118 | -17.182 | 36.89 | 0.10302 | -23.26 | 35.93 | 0.10871 | -19.02 |
22 | 0.11082 | 38.77 | 0.09259 | -16.450 | 41.78 | 0.07713 | -30.40 | 38.38 | 0.09466 | -14.578 | 39.58 | 0.08828 | -20.34 | 38.77 | 0.09255 | -16.49 |
23 | 0.09185 | 41.54 | 0.07832 | -14.731 | 44.28 | 0.06501 | -29.22 | 41.12 | 0.08040 | -12.465 | 42.20 | 0.07508 | -18.26 | 41.35 | 0.07926 | -13.71 |
24 | 0.07667 | 44.18 | 0.06546 | -14.613 | 46.62 | 0.05413 | -29.39 | 43.75 | 0.06755 | -11.897 | 44.73 | 0.06290 | -17.95 | 43.54 | 0.06852 | -10.62 |
x264 crf | x264 bpp | rav1e crf according to y-ssim | rav1e bpp according to y-ssim | rav1e % reduction according to y-ssim | rav1e crf according to rgb-ssim | rav1e bpp according to rgb-ssim | rav1e % reduction according to rgb-ssim | rav1e crf according to ms-ssim | rav1e bpp according to ms-ssim | rav1e % reduction according to ms-ssim | rav1e crf according to psnr-hvs-m | rav1e bpp according to psnr-hvs-m | rav1e % reduction according to psnr-hvs-m | rav1e crf according to vmaf | rav1e bpp according to vmaf | rav1e % reduction according to vmaf |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 0.34558 | 49.66 | 0.7601 | 120.0 | 52.38 | 0.7118 | 106.0 | 51.58 | 0.7256 | 110.0 | 60.18 | 0.5915 | 71.17 | 57.25 | 0.6336 | 83.34 |
17 | 0.28786 | 55.97 | 0.6531 | 126.9 | 59.05 | 0.6074 | 111.0 | 58.11 | 0.6208 | 115.7 | 67.65 | 0.4988 | 73.28 | 62.10 | 0.5657 | 96.52 |
18 | 0.23879 | 62.99 | 0.5543 | 132.1 | 66.26 | 0.5146 | 115.5 | 65.26 | 0.5263 | 120.4 | 75.40 | 0.4215 | 76.53 | 67.75 | 0.4977 | 108.41 |
19 | 0.19742 | 70.43 | 0.4691 | 137.6 | 73.75 | 0.4366 | 121.1 | 72.78 | 0.4458 | 125.8 | 83.26 | 0.3589 | 81.81 | 74.43 | 0.4303 | 117.98 |
20 | 0.16285 | 78.08 | 0.3986 | 144.8 | 81.35 | 0.3729 | 129.0 | 80.49 | 0.3795 | 133.0 | 91.11 | 0.3086 | 89.51 | 82.19 | 0.3667 | 125.17 |
21 | 0.13424 | 85.81 | 0.3414 | 154.3 | 88.93 | 0.3215 | 139.5 | 88.26 | 0.3257 | 142.6 | 98.85 | 0.2678 | 99.51 | 90.92 | 0.3097 | 130.69 |
22 | 0.11082 | 93.55 | 0.2949 | 166.1 | 96.43 | 0.2798 | 152.5 | 96.01 | 0.2819 | 154.4 | 106.44 | 0.2340 | 111.16 | 100.32 | 0.2609 | 135.40 |
23 | 0.09185 | 101.23 | 0.2567 | 179.4 | 103.81 | 0.2451 | 166.9 | 103.69 | 0.2457 | 167.5 | 113.85 | 0.2051 | 123.25 | 109.94 | 0.2199 | 139.42 |
24 | 0.07667 | 108.84 | 0.2243 | 192.5 | 111.06 | 0.2156 | 181.2 | 111.26 | 0.2148 | 180.2 | 121.06 | 0.1794 | 134.04 | 119.28 | 0.1856 | 142.03 |