Hi,
Quick question : does denoising HDR images with Optix involves tone-mapping, then denoising LDR images then un-tone-mapping ? If so, what’s the advantage of using Optix tone-mapping if the host application has its own tonemapping fct ? I imagine speed may be one answer.
Best regards,
Colin Chargy
No, when using the HDR denoiser the colors should be in linear color space, not tone-mapped.
There is only the HDR intensity which is used to bring very dark images into a reasonable value range internally to improve the results in dark areas.
See this denoiser chapter of the OptiX Programming Guide
The LDR denoiser is also not really a separate training set anymore. Find more information in some of these answers about the denoiser
Hi @droettger,
Thanks for your answer. It did not answer my question exactly : is the HDR denoiser simply the LDR denoiser surrounded by tone-mapping and un-tone-mapping (inverted tone-mapping) ? Does the HDR denoiser use internally HDR value in the denoising ML model ?
Is there any advantage using the denoiser before the host application performs tone-mapping rather than after ?
Thanks,
Regards,
Colin
Trust me, that’s all answered inside the documentation and posts you get when following the links I provided.
TL,DR: There is no separate LDR denoiser training network anymore.
Is there any advantage using the denoiser before the host application performs tone-mapping rather than after ?
That is how you need to do it when using when using HDR denoiser. Tonemapping must happen afterwards with that.
is the HDR denoiser simply the LDR denoiser surrounded by tone-mapping and un-tone-mapping (inverted tone-mapping)
Absolutely not. That wouldn’t work.
Does the HDR denoiser use internally HDR value in the denoising ML model ?
Yes, and the valid range for the HDR input values is [0, 10,000] That was always the case.
Hi,
I did not find the answer in the doc, neither in the forum posts you suggested. You answer, on the other hand, help me.
Thanks,
Regards,
Colin Chargy