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Image quality assessment: Difference between revisions
→Spherical Quality Assessment
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\end{align} | \end{align} | ||
</math> | </math> | ||
** The weights are \(w(i,j) = \sin(\frac{ | ** The weights are \(w(i,j) = \sin(\frac{j+0.5}{N}\pi) = \cos(\frac{j+0.5-N/2}{N}\pi)\). | ||
* 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]. | ||