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Image quality assessment: Difference between revisions
→Spherical Quality Assessment
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==Spherical Quality Assessment== | ==Spherical Quality Assessment== | ||
* Yu ''et al.''<ref name="yu2015framework></ref> propose Spherical PSNR ( | * WS-PSNR is a standard PSNR calculation where the mean squared error is weighted by the size of each pixel. | ||
<math> | |||
\begin{align} | |||
WMSE &= \frac{1}{\sum_{i,j}w(i,j)} \sum_{i,j} (I_1(i,j)-I_2(i,j))^2 * w(i,j)\\ | |||
WS\_PSNR &= 10\log_{10}(\frac{R^2}{WMSE})\\ | |||
\end{align} | |||
</math> | |||
* 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]. | |||
==References== | ==References== | ||