Lightroom Classic Auto Denoise Function
Discussion
I generally apply denoise before other adjustments, as the noise level can change your perception of things like contrast, sharpness and saturation.
So if you make adjustments before denoise then you might end up going back and re-adjusting anyway.
I have been really impressed by denoise, I've gone back and re-processed some old photos I had more or less written off due to noise and been very happy with the results.
So if you make adjustments before denoise then you might end up going back and re-adjusting anyway.
I have been really impressed by denoise, I've gone back and re-processed some old photos I had more or less written off due to noise and been very happy with the results.
If you're finding your files are consistently noisy (either due to the camera/sensor or due to shooting in low light), can I suggest (something like) DxO PureRaw* as step 1 in your image processing. I got it back when I had the Canon 7D, which wasn't a great sensor for noise, and it effectively rescued a bunch of otherwise pretty st images. I still use it selectively even with a newer mirrorless body.
It's main function is image correction and AI-driven denoising, and it does a much better (and quicker) job than Lr's own AI denoise function. It also does batch-processing very easily and quite quickly.
Only downside (to all AI denoise processes) is very large output DNG files. So discipline is required in pre-processing filtering/shortlisting. Either that or investing in a few more HDDs...
@Julian - noise = 'grainyness' in the image - the speckling and loss of detail/clarity in the image when you zoom in. Modern denoise engines can ID that and use AI learning to 'guess' (usually very very accurately) what the underlying pixels should have shown. Old school denoise tended to reduce localised contrast which often led to a 'softer' image.
* Topaz and ON1 also have similar programmes. Trial them and choose, I guess...
It's main function is image correction and AI-driven denoising, and it does a much better (and quicker) job than Lr's own AI denoise function. It also does batch-processing very easily and quite quickly.
Only downside (to all AI denoise processes) is very large output DNG files. So discipline is required in pre-processing filtering/shortlisting. Either that or investing in a few more HDDs...
@Julian - noise = 'grainyness' in the image - the speckling and loss of detail/clarity in the image when you zoom in. Modern denoise engines can ID that and use AI learning to 'guess' (usually very very accurately) what the underlying pixels should have shown. Old school denoise tended to reduce localised contrast which often led to a 'softer' image.
* Topaz and ON1 also have similar programmes. Trial them and choose, I guess...
havoc said:
If you're finding your files are consistently noisy (either due to the camera/sensor or due to shooting in low light), can I suggest (something like) DxO PureRaw* as step 1 in your image processing. I got it back when I had the Canon 7D, which wasn't a great sensor for noise, and it effectively rescued a bunch of otherwise pretty st images. I still use it selectively even with a newer mirrorless body.
It's main function is image correction and AI-driven denoising, and it does a much better (and quicker) job than Lr's own AI denoise function. It also does batch-processing very easily and quite quickly.
Only downside (to all AI denoise processes) is very large output DNG files. So discipline is required in pre-processing filtering/shortlisting. Either that or investing in a few more HDDs...
@Julian - noise = 'grainyness' in the image - the speckling and loss of detail/clarity in the image when you zoom in. Modern denoise engines can ID that and use AI learning to 'guess' (usually very very accurately) what the underlying pixels should have shown. Old school denoise tended to reduce localised contrast which often led to a 'softer' image.
* Topaz and ON1 also have similar programmes. Trial them and choose, I guess...
Thanks. I'll have a play because whenever I've used it, it's made no real difference (RAW images from a Leica Q2) but often used after some image processing anyway.It's main function is image correction and AI-driven denoising, and it does a much better (and quicker) job than Lr's own AI denoise function. It also does batch-processing very easily and quite quickly.
Only downside (to all AI denoise processes) is very large output DNG files. So discipline is required in pre-processing filtering/shortlisting. Either that or investing in a few more HDDs...
@Julian - noise = 'grainyness' in the image - the speckling and loss of detail/clarity in the image when you zoom in. Modern denoise engines can ID that and use AI learning to 'guess' (usually very very accurately) what the underlying pixels should have shown. Old school denoise tended to reduce localised contrast which often led to a 'softer' image.
* Topaz and ON1 also have similar programmes. Trial them and choose, I guess...
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