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Thanks for sharing your great work.
I have a question about the output of your network is it ready to be shown on the hdr display?
Is it in the light domain or perceptual domain? in other words do I need to perform de-normalization to make it work for the HDR displays?
Also, I have the same question about the domain of the existing approaches you compared your approach with, what are the domains of those (such as hdrcnn, expandnet, and drtmo and others)
The text was updated successfully, but these errors were encountered:
Thanks for sharing your great work.
I have a question about the output of your network is it ready to be shown on the hdr display?
Is it in the light domain or perceptual domain? in other words do I need to perform de-normalization to make it work for the HDR displays?
Also, I have the same question about the domain of the existing approaches you compared your approach with, what are the domains of those (such as hdrcnn, expandnet, and drtmo and others)
@HamidTohidypour@HamidTohidypour
Really sorry for the late reply.
The output of the network is in the linear domain with float32 precision.
I am not very sure. But if you want to display the output using an HDR display.
You might need to normalize and quantize the output HDR file into the format that fits the display.
We mainly compare all the methods in the linear domain.
But we also include the comparisons of the tone-mapped images in the supplementary material (Table 4).
Thank you!
Thanks for sharing your great work.
I have a question about the output of your network is it ready to be shown on the hdr display?
Is it in the light domain or perceptual domain? in other words do I need to perform de-normalization to make it work for the HDR displays?
Also, I have the same question about the domain of the existing approaches you compared your approach with, what are the domains of those (such as hdrcnn, expandnet, and drtmo and others)
The text was updated successfully, but these errors were encountered: