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Noise reduction for 2021
Noise reduction technology has been the same for over a decade – until now. DeNoise AI uses a fundamentally new approach called deep learning: after a lengthy process of learning from millions of images, DeNoise AI learned to accurately distinguish between real image detail and noise. This allows you to remove noise while actually recovering image detail, something that would have been impossible just a few years ago.
Recover true detail from your photos
The measure of good noise reduction is how well it preserves detail while removing noise. DeNoise AI takes this a step further and actually recovers detail from the original image. Take a look at the car logo in the image above; instead of having less detail than the original, the edges are actually refined with more detail than there was before.
Make 6400 ISO look like 200 ISO.
Given your equipment and subject matter, there’s probably a certain ISO that you’re generally comfortable shooting at right now. We’re confident that after you try DeNoise AI, you’ll immediately double that ISO number – at least! DeNoise’s technology enables you to push ISO and shoot faster without compromising on image quality.
Noise reduction with machine learning
Regular noise reduction “filters” your photo or video through complex math operations and inevitably results in some detail loss. AI is fundamentally different: when used correctly it can actually improve true image quality by removing noise while restoring detail. Here’s a quick overview of the process.
Develop AI architecture
We first teach the system “how to learn”. Our team of researchers constantly experiments with new and improved methods inspired by the latest developments in AI.
Train AI models with data
Next, we gather and input millions of data points to help the system understand what “image quality” means. This training usually takes weeks or months to complete.
Evaluate image quality
To ensure consistently stunning image quality results, we rely on both objective quality metrics and subjective evaluation with real photographers.
If you’ve used Topaz software since 2018, you would have received more than 100 new or substantially improved AI models for image quality.