![]() Improved reduction of low-frequency (large-scale) noise and retention of detail in faint areas and dark structures (e.g., galaxy dust lanes, nebula absorption filaments).Home › Software › Audio › Noise Canceling Software: 8 Best Apps for Windows Fixed a crash on images of certain sizes. Does not work on older versions of Photoshop (e.g., CS4) due to a Photoshop bug. MacOS only: corrects a bug that could cause failure during license key entry when also running StarXTerminator.Īdded processing progress readout for Affinity Photo. Updated the MacOS and Windows installers to add installation for Affinity Photo 2. Modified "Select AI" button to only allow loading of NoiseXTerminator AI files (prevents crashes from loading unrelated AI files). Improved handling of linear images to 1) correctly handle RGB images that have not had their background color neutralized, and 2) eliminate a subtle shift in the background level on some images. Older versions, if installed, can still be selected if desired. Update any scripts and process icons to remove this parameter.Īutomatically find the latest installed AI version. The "linear" checkbox and the P.linear script parameter have been removed. nonlinear image handling is now automatic. Minor update to correct an issue that could required unnecessary re-entry of license key. Ubuntu 18.04 or later, or equivalent (glibc 2.27 or later required).Modern CPU capable of running neural networks (AVX, SSE instruction set extensions).Apple silicon (e.g., M1, M1X) supported natively.NoiseXTerminator will automatically use the CPU if the GPU is not supported. GPU/Neural Engine recommended for fast performance, but not required. ![]() Request a trial before purchasing to make sure it will work on your machine. Older CPUs lacking FMA, AVX, and SSE instructions are not supported. NoiseXTerminator requires a computer with a modern CPU having instructions required to run neural networks. Please see current known issues and planned improvements on the support page linked above. In general, the best value for Detail is a bit lower than a value that produces dark halos around small stars. It can sharpen details in the presence of noise, and without boosting it. The "Detail" parameter acts much like controlling the radius of an unsharp masking operation, but it is noise-aware.This a matter of taste, of course, but try setting the Denoise parameter to a slightly lower value (e.g., between 0.75 and 0.90) to retain some noise for a more natural appearance. As with all noise reduction solutions, completely removing the noise can result in an artificially-clean image with a "waxy" appearance. The "Denoise" parameter literally determines the fraction of what the neural network identifies as noise will be removed from the image – setting it to 1.00 will tell NoiseXTerminator to try to remove 100% of the noise from the image.Use "undo" to revert a change to the selected area. In Photoshop, you can select a small area of the image and quickly evaluate different NoiseXTerminator settings.Select this preview and run NoiseXTerminator on it to allow rapid adjustment of the parameters. In PixInsight, you can create a preview containing a representative sample of your image, including bright and dark regions, important detail, etc.Otherwise you might see what looks like posterization in your image, when it is really just limitations of the lower-precision default lookup tables. Make sure PixInsight is configured to use 24-bit STF lookup tables.If processing a linear (unstretched) image in PixInsight:.Using NoiseXTerminator on images that have already been heavily processed, particularly with other noise reduction/sharpening software, can produce less than optimal results. The PixInsight version can handle both linear and nonlinear (stretched) images. NoiseXTerminator can be used at any point in your processing flow.The Photoshop version also works with Affinity Photo. NoiseXTerminator is available as a plug-in for both PixInsight and Photoshop. It can perform natural detail enhancement without boosting noise or inventing non-existent structure. NoiseXTerminator was trained exclusively on deep-sky astrophotos, so its neural network is "familiar" with how stars should look and the types of detail we see in our photos. As a result, they often mangle the stars and invent detail that simply isn't there. While powerful AI-based noise reduction and detail enhancement solutions exist for general photography, they were not trained on astrophotos. NoiseXTerminator is a fast and easy-to-use AI-powered noise reduction tool specifically for astrophotography. Hover over the photograph to see the original
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