![]() ![]() ![]() The network is able to produce results that far exceed those made by human-designed algorithms, producing Linear DNG files that have all of the flexibility of the original RAW file but with the best possible image quality in terms of colour, noise and fine detail. Trained and developed using millions of example images, DxO PureRAW 2 uses convolutional neural networks to perform the de-mosaicing and de-noising processes of RAW image conversion simultaneously. The latest version of DxO PureRAW also adds new workflow settings that streamline RAW processing, letting photographers spend more time shooting and less time editing.įor instance, version 2.1 provides a greater number of renaming options when generating files, joining other smart options to guarantee smoother, more efficient RAW photo management. The Canon EOS R10 is one of several cameras now supported by DxO PureRAW2 Improved workflow
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