I can get rid of the JPEG artefacts using Lightroom's luminance noise reduction slider, but it kills the detail. Not bad at all, IMHO This is not simply noise-reduction.
on the right, the raw from GigaPixel, with a couple of minor additional adjustments in Lightroom after conversion: Here's a 1:1 comparison - on the left, the JPEG. However, GigaPixel AI did a far better job. The resulting raw had way more and more-pronounced artefacts than the original JPEG image. One photo I had problems with in JPEGtoRAW was a moon-shot taken with my Panasonic DMC-FZ62 bridge camera. If you do want to resize or enhance, then you can do that all-in-one step.Having played around with some of the same problematic JPEGs in GigaPixel AI using the "Low Resolution" model (which works best with JPEG compression artefacts) and x1.00 scale, I'm achieving much better results than I did in JPEGtoRAW AI, and with all of the benefits I'd originally hoped for. When saving, you will have the option to create the file as a DNG or TIFF for uncompressed editing capabilities. This will not upscale the image, and it will stay the same size. However, if the resolution or size is not an issue or should be kept the same, then you would want to use the "scale" model and use the "custom" option with an input of '1.' Gigapixel AI's other job is to resize and enhance low resolution images. Gigapixel AI can convert jpg or png files to DNGs or TIFFs. If anything, the current Gigapixel AI will be better quality as it has our new AI Engine in place.
Restoring editing capabilities is referring to the function of converting a JPEG to a RAW image. To clarify, none of the capabilities would be lost by using Gigapixel AI instead of JPEGtoRAW AI.
You can use a 1 to 1 ratio if you don't want to upscale, and this will still restore editing capabilities. The same functionality of JPEGtoRAW AI has been incorporated into Gigapixel AI's compression mode. Here are some comparison images that showcase the improvements users can expect when moving from the original auto-detect mask models to the improved ones.I just wanted you to know that we've incorporated the majority of the features of JPEGtoRAW AI into Gigapixel AI.
#TOPAZ MASK AI USERS MANUAL#
Users can now better rely on auto selection, and may need less manual modifications to get a perfect mask.
#TOPAZ MASK AI USERS UPDATE#
In other words, this update enables more accurate masks, particularly on the boundaries of objects. Now, when classifying each pixel, this new deep learning architecture sees larger local regions to improve this classification accuracy. In more technical terms, segmenting out the salient object(s) in an image requires us to classify each pixel as salient or not salient. With Sharpen AI v4.1, we’ve made significant improvements to the overall detection quality of these models, as well as improved the edge detection of the auto-drawn masks.Īll three auto selection models have been updated with a recent state-of-the-art deep learning architecture. When enabled, users have the option for Sharpen AI to auto-detect-and mask-general subjects, landscapes/skylines, and portraits. We first introduced auto-detect masking functionality in Sharpen AI v3.3. Release Notes Improved auto-select mask models
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