Image quality assessment: Difference between revisions
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** The weights are \(w(i,j) &= \sin(\frac{i+0.5}{N}\pi)\) | |||
* Yu ''et al.''<ref name="yu2015framework></ref> propose Spherical PSNR (S-PSNR). In S-PSNR, points are randomly sampled on a sphere and back projected to the reference and reconstructed images. In practice, these randomly sampled points need to be saved for reproducibility. They use 655262 points which are available [https://github.com/mattcyu1/omnieval/blob/master/compsph/sphere_655362.txt on their repo]. | * Yu ''et al.''<ref name="yu2015framework></ref> propose Spherical PSNR (S-PSNR). In S-PSNR, points are randomly sampled on a sphere and back projected to the reference and reconstructed images. In practice, these randomly sampled points need to be saved for reproducibility. They use 655262 points which are available [https://github.com/mattcyu1/omnieval/blob/master/compsph/sphere_655362.txt on their repo]. | ||
Samsung has a [https://github.com/Samsung/360tools 360tools] program which can compute WS-PSNR, S_PSNR, | |||
==References== | ==References== |