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</math> | </math> | ||
** The weights are \(w(i,j) = \sin(\frac{j+0.5}{N}\pi) = \cos(\frac{j+0.5-N/2}{N}\pi)\). | ** The weights are \(w(i,j) = \sin(\frac{j+0.5}{N}\pi) = \cos(\frac{j+0.5-N/2}{N}\pi)\). | ||
* | * Spherical PSNR (S-PSNR)<ref name="yu2015framework></ref> uses randomly sampled points on a sphere and back projects them 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]. | ||
* Spherical Structural Similarity Index (S-SSIM) <ref name="chen2018sssim"></ref> is an extension of SSIM for spherical images. | |||
*:<math> | |||
\begin{align} | |||
\text{S-SSIM}(i, j) &= \frac{2 \mu_x \mu_y + C_1)(2 \sigma_{xy} + C_2)}{(\mu_x^2 + \mu_y^2 + C_1)(\sigma_x^2 \sigma_y^2 + C_2)\\ | |||
\text{S-SSIM} &= \frac{\sum_m \sum_n \text{S-SSIM}(m, n) * w(m, n)}{\sum_m \sum_n w(m, n)} | |||
\end{align} | |||
</math> | |||
==Resources== | ==Resources== | ||
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<ref name="lee2002foveated">Sanghoon Lee, M.S. Pattichis, A.C. Bovik, (2002) ''Foveated video quality assessment'' IEEE Multimedia 2002.</ref> | <ref name="lee2002foveated">Sanghoon Lee, M.S. Pattichis, A.C. Bovik, (2002) ''Foveated video quality assessment'' IEEE Multimedia 2002.</ref> | ||
<ref name="yu2015framework">Matt Yu, Haricharan Lakshman, Bernd Girod (2015) ''A Framework to Evaluate Omnidirectional Video Coding Schemes'' ISMAR 2015.</ref> | <ref name="yu2015framework">Matt Yu, Haricharan Lakshman, Bernd Girod (2015) ''A Framework to Evaluate Omnidirectional Video Coding Schemes'' ISMAR 2015.</ref> | ||
<ref name="sun2017wspsnr">Yule Sun, Ang Lu, Lu Yu (2017). Weighted-to-Spherically-Uniform Quality Evaluation for Omnidirectional Video. IEEE Signal Processing Letters</ref> | |||
<ref name="chen2018sssim">Sijia Chen, Yingxue Zhang, Yiming Li, Zhenzhong Chen, Zhou Wang (2018). Spherical Structural Similarity Index for Objective Omnidirectional Video Quality Assessment. (ICME 2018)</ref> | |||
}} | }} |