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Comparison with APE that is source-ignorant? #38

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JonQKim opened this issue Jun 18, 2021 · 1 comment
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Comparison with APE that is source-ignorant? #38

JonQKim opened this issue Jun 18, 2021 · 1 comment
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@JonQKim
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JonQKim commented Jun 18, 2021

Thank you for sharing great work.
I'd like to ask a question about the comparison with APE for evaluation.

APE is a general purpose enhancement tool that does not know from what camera source the image was taken.
In my opinion, the better quality of DPED partly comes from the fact that it was trained only for specific camera sources.

Would you give me your thoughts on my opinion?
And would you share another evaluation result if you conducted training a network with all the camera sources together?

@aiff22
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aiff22 commented Dec 17, 2021

APE is a general purpose enhancement tool that does not know from what camera source the image was taken.

Yes, that's correct, but we will have the same situation with any standard image enhancement tool not using specific ML models trained for some particular camera sensors. Therefore, one can either compare the solution to such source ignorant software or to the corresponding deep learning-based architectures trained on the same data. Both options are considered in this paper.

@aiff22 aiff22 closed this as completed Dec 17, 2021
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