This page shows examples of pairs of compressed images for which VMAF-NEG disagrees with all other metrics about which image is best. Up to you to judge if it made a good call or not!
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| avif 444 s6 q15 SSIMULACRA_2_modelD=78.42675402 AIMOS_interpolated=0.7374 SSIM=0.989713 PSNR-Y=43.696405 Butteraugli_3norm= 1.078508 VMAF-NEG=91.367429 DSSIM=0.00138799 PSNR-HVS=44.72447 | Reference | jxl 225b6884 pdc0 e9 q94 SSIMULACRA_2_modelD=100.00000000 AIMOS_interpolated=0.8151 SSIM=0.995226 PSNR-Y=45.849372 Butteraugli_3norm= 0.457041 VMAF-NEG=89.291018 DSSIM=0.00020986 PSNR-HVS=44.75916 |
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| avif 444 s6 q23 SSIMULACRA_2_modelD=75.67592559 AIMOS_interpolated=0.7172 SSIM=0.988214 PSNR-Y=45.634087 Butteraugli_3norm= 1.133622 VMAF-NEG=90.005845 DSSIM=0.00147647 PSNR-HVS=43.06215 | Reference | jxl e6 q70 SSIMULACRA_2_modelD=77.00463953 AIMOS_interpolated=0.7249 SSIM=0.990637 PSNR-Y=45.875738 Butteraugli_3norm= 1.013484 VMAF-NEG=87.759059 DSSIM=0.00129868 PSNR-HVS=43.94154 |
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| avif 444 s6 q25 SSIMULACRA_2_modelD=74.76799271 AIMOS_interpolated=0.6653 SSIM=0.987952 PSNR-Y=44.769907 Butteraugli_3norm= 1.221568 VMAF-NEG=89.278976 DSSIM=0.00163613 PSNR-HVS=42.44731 | Reference | jxl e5 q64 SSIMULACRA_2_modelD=76.03667800 AIMOS_interpolated=0.6673 SSIM=0.990140 PSNR-Y=45.119079 Butteraugli_3norm= 1.086700 VMAF-NEG=87.232446 DSSIM=0.00158610 PSNR-HVS=42.85618 |
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| avif 444 s6 q25 SSIMULACRA_2_modelD=78.87780516 AIMOS_interpolated=0.6961 SSIM=0.992945 PSNR-Y=47.749840 Butteraugli_3norm= 1.142340 VMAF-NEG=90.158344 DSSIM=0.00112149 PSNR-HVS=44.00505 | Reference | jxl 225b6884 pdc0 e9 q66 SSIMULACRA_2_modelD=80.58266283 AIMOS_interpolated=0.6993 SSIM=0.993879 PSNR-Y=47.810140 Butteraugli_3norm= 1.055449 VMAF-NEG=87.328681 DSSIM=0.00097762 PSNR-HVS=44.37021 |
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| avif 444 s6 q9 SSIMULACRA_2_modelD=85.86132588 AIMOS_interpolated=0.828 SSIM=0.994057 PSNR-Y=47.655137 Butteraugli_3norm= 0.843301 VMAF-NEG=94.847233 DSSIM=0.00060766 PSNR-HVS=45.82713 | Reference | jxl 225b6884 pdc1 e9 q92 SSIMULACRA_2_modelD=92.90276760 AIMOS_interpolated=0.8345 SSIM=0.995574 PSNR-Y=47.826930 Butteraugli_3norm= 0.565388 VMAF-NEG=92.220801 DSSIM=0.00028327 PSNR-HVS=46.46933 |
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| avif 444 s6 q29 SSIMULACRA_2_modelD=74.11242003 AIMOS_interpolated=0.6965 SSIM=0.983924 PSNR-Y=38.111181 Butteraugli_3norm= 1.484773 VMAF-NEG=88.863935 DSSIM=0.00266823 PSNR-HVS=41.25746 | Reference | jxl e5 q80 SSIMULACRA_2_modelD=80.58396190 AIMOS_interpolated=0.769 SSIM=0.988865 PSNR-Y=38.780158 Butteraugli_3norm= 1.000457 VMAF-NEG=85.580868 DSSIM=0.00146062 PSNR-HVS=41.25867 |