We can further look at the detail recovery of DeepPRIME vs DeepPRIME XD vs Topaz DeNoise AI model RAW.
The following are full-size images at ISO 100 and 12800, plus two compilations of 1700 x 700 pixel crops from the full-size images. The labels on the individual crops indicate the ISO and denoising method used.
There is no need for extensive comments other than it is quite obvious that DeepPRIME XD tries to recover fine detail in addition to a slightly more efficient denoising vs. DeepPRIME. I guess, this can be be useful for wildlife photographers and birders in those relatively common situations when using relatively slow telephoto zooms (e.g. f/6.3) in less then ideal light.
Topaz performs well, and the corresponding image might look sharper if I could use sharpening when processing the TIFF file from Topaz in DxO PL. I already noted this in the above post that DxO PL can apply lens corrections (including sharpening and WB) only when processing from RAW. Thus all sharpening in the image denoised in Topaz originates from Topaz and this might not be as efficient as the sharpening applied by DxO PL when processing from RAW.
Oct 30, 2022 at 11:26 AM
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