![]() I am quite comfortable with my own testing and the conclusions that I have drawn from it.īoth Neat Image and Topaz Denoise-AI are available as free trials. Just don't get too sucked in by the samples shown in that thread. Compare price, features, and reviews of the software side-by-side to make the best choice for your business. I suggest that you and anyone else who is interested run your own comparisons with files containing very high levels of noise. Those two anomalies were far more visually jarring than your example of the book spines, imo. In the example thread above, Neat-image had two issues that the others did not (not just compared to AIDN). In my view, it is a better program overall. Neat Image, in contrast, has none of these issues, although it, too, will sometimes produce a different kind of artifact. However in the case of these particular artifacts, the eye can be fooled into thinking that they represent actual details, which they don't. Will the artifacts be visible at normal viewing size? I don't know, but the same question can legitimately be asked about residual fine grained noise. It automatically gets rid of digital noise in grainy areas while preserving the detail. Topaz Denoise AI Topaz DeNoise AI is the best noise reduction software when putting all its features together. The photo was taken with a Leica Q2 at ISO 12,500. Neat image pro: External plugin with plenty of customizable noise reduction options. ![]() Enlarge in the gallery view, look closely at the book "Children of the Days," and you will see them. Here is a screenshot of TDN-AI's fine line artifacts at 100%. Furthermore, noise reduction on Auto is so strong that the result can look like smeared plastic. Even worse, out of focus areas are often turned into an unsightly mass of colored blobs. I have seen this clearly in photos of the covers of books, where white print is riddled with fine lines that are not present in real life, i.e. I have spent far too many hours trying to like TDN-AI, and my experience tells me that it is very prone to producing fine linear artifacts that look like details but are not. In this specific comparison Neat-Image gave more artifacts, not less.
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