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PSNR as a regression metric #33

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ziw-liu opened this issue Aug 17, 2023 · 3 comments
Closed

PSNR as a regression metric #33

ziw-liu opened this issue Aug 17, 2023 · 3 comments
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enhancement New feature or request

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@ziw-liu
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ziw-liu commented Aug 17, 2023

PSNR is a commonly used metric to evaluate high-resolution features in image reconstruction problems such as deconvolution and natural image super-resolution. This seems like a useful addition to MSE and SSIM that helps with resolution-sensitive tasks.

@ziw-liu ziw-liu added the enhancement New feature or request label Aug 17, 2023
@ziw-liu
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ziw-liu commented Sep 1, 2023

On second thought, PSNR is just max over MSE, which may not be more informative than $r^2$ or SSIM.

@ziw-liu
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ziw-liu commented Sep 1, 2023

Paper comparing PSNR and SSIM. For SSIM ~ (0.2, 0.8) and similar luminance, there is a near-linear relation between the two metrics.

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Closing this since we are currently using SSIM.

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