Fine detail in the scene, completely lost in the noisy shot, is lost and interpreted as a plain colour area (with some fine gaussian-like grain at pixel level)ĥ.
#TOPAZ DENOISE AI VS DXO DEEP PRIME SERIES#
The neural network tends to simplify complex structures: the carvings on the leather mask are a series of curves but are interpreted more like linear shapesĤ. The most interesting spot: the neural network interprets and creates non existent edges and shaded facets, which are feasible looking at the noisy image but didn't exist in the sceneģ. Text masked by noise is cleaned, but its lines and traces are not recovered, as expected.Ģ. Just comparing the output (right) with the noisy unprocessed capture (centre), the result is awesome, but when we look at the original scene some considerations have to be made:ġ. 100% crops test (LEFT: noiseless capture, CENTRE: noisy capture, RIGHT: processed noisy capture):
To find out we need a noiseless version of the scene and compare it with the result output from DxO PureRAW (DeepPRIME) when applied to a noisy version of the same scene. Nobody testing DxO PureRAW seems to care about how much detail the neural network "invents", they just throw a noisy RAW file and look at the result -> WOW!
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