![]() ![]() I do find that PhotoLab 4 has better sharpening algorithms though, which makes for more natural results. Both programs retain a great amount of detail and it is very hard (impossible to my eyes) to give one application an edge in this regard. These images are 100% crops and for a proper comparison should be viewed on a large screen device or zoomed in.ĭetail retention is also very close between the two applications. The second is the Topaz DeNoise AI result, and finally the PhotoLab 4 DeepPrime image. ![]() The first is the processed image with zero noise reduction applied. The Resultsīelow are the three comparison images. I repeated the test on over a dozen files with varying level of noise – the results were similar on all of the files I tried. It was taken on a Nikon D500 taken at ISO6400 in a fairly low-light setting (in the shade) typical of wildlife photography. I then sent the file to DeNoise AI as a TIFF file to perform the noise reduction and sharpening.īelow is one of the test photos I used. ![]() I then adjusted the exposure, colour, etc in Lightroom to produce a finished photo.įor the Topaz DeNoise test I opened the same RAW file in Lightroom and applied exactly the same exposure and colour corrections to the file (making sure noise and sharpening was set to zero). dng file with only the optical corrections and noise reduction applied. To test PhotoLab 4 I opened the image as a RAW file and set the best settings for Noise Reduction and Sharpening. To make sure each result is rendered to look the same I have used the following workflow: It is tricky to test the results from two different applications as slight differences in processing (colours, contrast, etc) can change how we perceive the noise in a photo.
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