Topaz DeNoise and High mega pixel issue

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Jerryjaws

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I’ve noticed file from A1 and A7r4. Render the image worst than original. Especially with the animals hair. It’s almost like it shifts the image and blurs it. But when processing with Topaz sharpen zero issues. Anyone else see this issue ?
 
I’ve noticed file from A1 and A7r4. Render the image worst than original. Especially with the animals hair. It’s almost like it shifts the image and blurs it. But when processing with Topaz sharpen zero issues. Anyone else see this issue ?
Are you using the "auto" function or adjusting manually? I know that Matt Kloskowski shoots an A1 and is thrilled with both denoise and sharpen for his BIF shots....
I'm a Nikon shooter (many less megapixels!!) and have actually found the reverse to you - denoise produces a much pleasanter sharpening result than sharpen, which seems to introduce artefacts however gentle I am with the sliders! Not much help, I know.... sorry!
 
I find both Denoise and Sharpen have trouble with fur if pushed too far. Seldom can you push the sharpening above 40 without the fur starting to get artifacts.
 
One thing I do is make sure the sharpening and noise reduction sliders in the details tab of lightroom are zeroed out. I've found that if there are default values it does funny things when I move it to Topaz
That’s the first thing I do. Theres a issue with high MP sensors and there program. My A9 works prefect. Soon as I load A1 or A7r4 into program. Issues
 
I'm using it with an R5 and not seeing any issues. I avoid auto-anything at all costs and have developed a feel for where to set sliders for a particular image. I also avoid the original detail slider and instead invoke it from Photoshop as a new layer and if details are obliterated in Denoise then I paint them back using a layer mask. No tool is perfect but Denoise has so simplified my workflow.
 
The way topaz handles very fine picture features like fur and feathers is the reason I moved to DxO instead. Topaz fattens them to a point it's not natural-looking anymore. Haven't tried the latest releases but I'm happy with DxO's deep prime stellar denoising and sharpening.
 
My Topaz DeNoise works really well.

Are you comparing images inside the software? Sometime the preview is not 100% accurate but the output tends to deliver.
 
The way topaz handles very fine picture features like fur and feathers is the reason I moved to DxO instead. Topaz fattens them to a point it's not natural-looking anymore. Haven't tried the latest releases but I'm happy with DxO's deep prime stellar denoising and sharpening.

Which settings did you use with Topaz? Could you please show an example?
Thanks.
 
Sure, this is a bit of an extreme example as it was shot at ISO 2000 through a single pane glass, and the only way I would display this file would be downsampled but it shows that typical problems that occur with topaz denoise for me, since AI clear to now (v3.3.1 I think). Both raws processed as they were, exported to DNG adobe color profile applied in ACR (that's another thing, Topaz does not retain any camera color profile information while DxO does a good job at making the raw look as it was displayed in-camera). Top row is 100% crop of the straight raw to jpeg conversion with nothing edited at all, second row denoised 100% crop (default setting in both software), third row is a blow up. Pay attention (enlarge bigger than 100% if needed....):
- out of focus noise is nice and regular in DxO / blotchy and artifacted in Topaz
- fine noisy feathers are reconstructed quite well in DxO (for what the input is...) / fattened and smudged in Topaz. It's like topaz can't really tell "lines" and wave its way into something that does not exist at all, while DxO doesn't do that. Probably the advantage of denoising at the demosaicing stage.
The fattening of small details becomes more and more unnatural as you downsample or print, imho. You can work your way around it, but I'd rather save myself more computer time.
dxo_topaz.jpg
You can only see EXIF info for this image if you are logged in.
 
Sure, this is a bit of an extreme example as it was shot at ISO 2000 through a single pane glass, and the only way I would display this file would be downsampled but it shows that typical problems that occur with topaz denoise for me, since AI clear to now (v3.3.1 I think). Both raws processed as they were, exported to DNG adobe color profile applied in ACR (that's another thing, Topaz does not retain any camera color profile information while DxO does a good job at making the raw look as it was displayed in-camera). Top row is 100% crop of the straight raw to jpeg conversion with nothing edited at all, second row denoised 100% crop (default setting in both software), third row is a blow up. Pay attention (enlarge bigger than 100% if needed....):
- out of focus noise is nice and regular in DxO / blotchy and artifacted in Topaz
- fine noisy feathers are reconstructed quite well in DxO (for what the input is...) / fattened and smudged in Topaz. It's like topaz can't really tell "lines" and wave its way into something that does not exist at all, while DxO doesn't do that. Probably the advantage of denoising at the demosaicing stage.
The fattening of small details becomes more and more unnatural as you downsample or print, imho. You can work your way around it, but I'd rather save myself more computer time.
View attachment 27500
dxo is much better and it will always be
 
I have similar issues when it comes to fine lines like feather detail 'fattening' especially in AI Clear mode with Topaz Denoise. I will go back to the standard Denoise AI if that happens and mess around with the sliders until I can get a natural look. I'll have to try DxO.
 
I have similar issues when it comes to fine lines like feather detail 'fattening' especially in AI Clear mode with Topaz Denoise. I will go back to the standard Denoise AI if that happens and mess around with the sliders until I can get a natural look. I'll have to try DxO.
Personally although AI clear was a bit of a revolution in denoising in 2018, the regular denoise that followed was much better. It's just that for some time (I think until version 2.5?) denoise needed the raws to be converted to jpeg or tiff with color noise removed (AI clear was good at denoising color noise).
 
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