Software

Graxpert AI denoising tutorial

Saturday, February 8, 2025

GraXpert AI denoising simplifies astrophotography processing by removing noise from stacked images, requiring a linear starting image, enabling maximum stretch mode, applying the latest AI model, running the denoising process automatically, and saving the cleaned-up result for further editing.

Jeremiah, also known as AstroOnBudget, recently put out a video showing how to use AI denoising in GraXpert. It’s a quick tutorial, but it covers exactly what you need to know if you’re looking to clean up your astrophotography images. GraXpert is a tool designed to process astronomical images, and this feature uses AI to remove noise from stacked images. The process is straightforward, and Jeremiah walks through it step by step.

Graxpert AI denoising tutorial: How to use AI to remove noise

He starts by emphasizing that your image needs to be in linear mode. This means it should be straight from stacking with no extra processing done. If there’s already some stretching or color adjustments, the results from denoising might not be as clean. Once the image is loaded into GraXpert, he switches to the maximum stretch mode. This helps make all the details and noise more visible, so you can see the impact of the denoising process more clearly.

Next, he goes into the advanced settings. He makes sure that the software is using the latest AI model for denoising. This is important because AI models are constantly improving, and having the newest version helps get the best results. After that, he navigates to the denoising section and clicks the button labeled "Denoise Image." If it’s the first time using this feature, the software will prompt you to download the AI model. Jeremiah confirms that you just need to press "Yes" and wait for the download to finish. Once it’s done, the actual denoising process starts.

At this point, the software applies the AI model to the image, and you can compare the denoised version with the original. This is helpful because it lets you check how much of a difference the AI made. Jeremiah doesn’t go into tweaking settings or adjusting parameters because the software does everything automatically. The goal is to keep the workflow simple, and that’s exactly what GraXpert does.

When the process is complete, he points out that you can save the denoised image for further processing. Most astrophotographers will take this cleaned-up image into other software, like PixInsight or Photoshop, to continue with stretching, color correction, and other enhancements. Denoising isn’t the final step in an astrophotography workflow, but it’s an important one because it helps make the final image look cleaner and more polished.

Jeremiah keeps the video short and to the point, and that makes it easy to follow. He wraps up by encouraging viewers to subscribe and support his channel. The tutorial is helpful for anyone who is just getting into astrophotography and wants to improve their images without spending hours tweaking settings. AI tools like this are making it easier to get better results, even for beginners.

GraXpert’s AI denoising is a great feature because it automates something that used to take a lot of time. In traditional astrophotography processing, noise reduction usually involves careful masking and multiple steps to avoid losing details. With AI, the software can analyze the image and determine how to remove noise while keeping the important structures intact. This means less trial and error and a smoother workflow.

Using AI in astrophotography isn’t a replacement for good data, though. If an image is too noisy from the start, like if it has too little exposure time or was taken under poor conditions, denoising can help but won’t fix everything. Jeremiah’s tutorial shows that this tool is best used as part of a solid processing routine, not as a magic solution. The AI can only work with the data it has, so starting with good stacking and calibration is still important.

One of the nice things about GraXpert is that it’s free. That makes it accessible for anyone getting into astrophotography without needing to spend money on expensive software. AI denoising is usually a feature found in high-end programs, so having it available in a free tool is a big deal for the community. Jeremiah’s tutorial helps spread the word about how to use it effectively.

The workflow he demonstrates is simple, and that’s one of the strengths of GraXpert. Many astrophotography tools have steep learning curves, but this one keeps things straightforward. There’s no need to adjust sliders or tweak settings, the AI handles the denoising automatically. That makes it great for people who just want to clean up their images quickly and move on to the next steps in processing.

For those who are new to this kind of processing, it’s important to experiment with different images to see how the AI model handles different types of noise. Some images might show more improvement than others, depending on the level of noise and the details present. Jeremiah doesn’t go into testing different images in this video, but that’s something worth exploring if you’re using GraXpert for your own work.

This tutorial is a good reminder that AI is becoming a bigger part of astrophotography. While traditional methods still have their place, AI-powered tools are making certain steps faster and easier. The denoising feature in GraXpert is just one example of how these technologies can improve workflows. As AI models continue to improve, it’s likely that we’ll see even better results with less effort in the future.

Overall, Jeremiah’s video is a solid introduction to using AI denoising in GraXpert. It’s a quick, no-nonsense tutorial that gets right to the point. He shows exactly what to do, and the process is easy enough that anyone can follow along. If you’re looking for a simple way to clean up your astrophotography images, this is definitely a tool worth checking out.