Better cameras generate less image noise. Neat Image processing minimizes the noise out of your photos. So your point-and-shoot camera can produce pro-quality results. Neat Image reduces image noise so that shots taken at faster shutter speeds and higher ISO become more usable with Neat Image post-processing.
We've also optimized Neat Image for speed by taking full advantage of multi-core CPUs and GPUs. Superior noise reduction combined with blazing speed makes Neat Image the most efficient noise reduction solution available.
Your product is absolutely incredible! So pleased to demo your software and able to recover photographs from my Canon Powershot SX60's over-enthusiastic JPEG compression!
Noise and artefacts are gone!
Neat Image is superb! Well done.
Recently I had to take photos at ISO 6400, it was portraits. I am not eligible to publish them. But I was not satisfied with my skills in denoising with darktable. So I was seeking a more satisfactory solution.
Sluggy warrior recently mentioned Nind Denoise , a Linux tool using convolutional neural networks that was written as a Master thesis. To me, it seemed a bit complicated to get it running. Maybe I am wrong.
Screenshot from Neat Image, 12800 ISO. The selection shows a preview of the result after denoising & sharpening. The rest is from darktable tiff export, without any denoising and without sharpening.
In contrast to darktable, Neat Image does not offer the option to work with masks, at least not in the current version 9 and when used as a standalone. But of course one can produce multiple outputs and then selectively overlay with a software that allows to work with layers, such as GIMP.
In case you meant to work with darktable only and selectively denoise certain areas more and others less with darktable - well, yes, darktable offers excellent masking (no automatic recognition of shapes, though), but I personally with my skills am unable to achieve the same or similar level of denoising with darktable as Neat Image does, also locally. So that's not an option for me.
I think NeatImage does that automatically but with its own algorithm. It won't de-noise the contour areas and it won't apply sharpening on low contrast parts of the image. I find it quite good and quite useful for batches of pictures when I need it.
I always thought Neat Image did a great job (still does) but, for me, Topaz DeNoise (with a little fiddling) does a significantly better job of retaining and enhancing fine detail. I'm a Windows guy, so issues for me on that count...
I think this has been the way NeatImage has worked since the beginning at least for noise removal. I recall reading a blog on the NeatImage website years ago giving those details about the algorithm. The author does not expand on the details of the algorithm though . I am now using V8 too.
12800 ISO. Screenshot from a Windows machine. Left: Topaz DeNoise AI test version v3.7.0 standard settings. Right: Neat Image v9.0.2 standard settings. Both processed from exactly the same tiff exported from darktable. Topaz provides a smoother image. Neat Image maybe a little more vivid an image.
12800 ISO. At 109 % we see a clearly better result of Topaz (left) vs Neat Image (right). I do not know whether this shows the full performance each. But if it needs to be quick, in this case, yes, Topaz is the winner.
I'm sure it could be attributable to user error, but I downloaded the demo version of Neat Image and didn't like it so much. I think it is great for smoothing out the grain, but I feel it degraded the sharpness too much. I even had the sharpness setting to high. Maybe my expectations were too high. I've seen what Topaz can do.
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A pattern I noticed throughout my tests was that practically every image that DeNoise AI was applied on had a few areas that were either completely smudged due to excessive NR or had too much noise due to no/low NR. My theory is that DeNoise AI sometimes fails to separate areas of detail and noise in the image. The problem with this is that there is no opportunity to manually reduce/apply NR in those areas; it can only be done by the software.
NI v8 is certainly pretty good at reducing noise, but the learning curve can be slightly steep. DeNoise AI, on the other hand, is much easier and also quicker. The main issue with DeNoise AI is the lack of user control over the noise reduction process, though. Considering your interest in photographing deep sky objects, I presume your primary consideration would be whether you require full manual control over the process vs. a simple, non-complex software that provides you with just a few basic NR sliders.
For years Neat Image has been ranked as the number one software that helps photographers to remove noise from images. Time never stops and so does Neat team constantly working on different ways of improving Neat Image and Neat Video to make the denoisers even better.
Neat Image 9 is the upgrade that gets the denoiser improved in all dimensions. Denoising, speed, compatibility, hardware support, ease of use and other aspects have been worked through to get your images to look better with ease. Working holistically on all of Neat Image tools has ensured every image can be at its best after applying new Neat Image.
As noise profiling is the key to great noise reduction, the existing profiling tools have been improved and new ones joined in the pack. Now you can adjust noise characteristics with a precision that has never been available before. Profile Check mode will help you and the filter to distinguish between noise and details and, as a result, accurately remove all of the unwanted noise.
As compared with the previous major version, Neat Image 9 shows a speed increase in both CPU and GPU-based processing. CPU-only mode is now performing up to 50% faster, GPU acceleration has more modest, but nevertheless welcomed 10% speed increase.
Mac users will be even more pleased with the performance of Neat Image 9 as this is the first version that natively supports M1 Apple Silicon. That includes all current models: M1, M1 Pro and M1 Max. This native support ensures the best possible speed when working on your new computer. Importantly, M1 chips are supported both in CPU and GPU modes, which makes processing even faster.
Variants of Filtration is a feature that has set the stage for new and easier ways of cleaning up your photos. Now this tool will help you not only to adjust filter settings to perfection, but also work on noise profiles. You can create up to four different variants and tweak them separately, together, halfway together and then separately again, or any way you want. Just choose the one your eyes love the most.
To make the learning curve easier we have introduced illustrations and comments in the Profile Check to and Filter Tuning Assist tools. These illustrations will tell you what to aim for while using those two special tuning modes.
Of course, there is much more to Neat Image 9. For a better denoising experience, UI has become more intuitive and interactive. Preview performance has been optimized. Even the installer has been reworked!
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