With images containing straight lines, buildings, and the like it does less well under close inspection. Enlarging images that predominately feature these textures shows amazing results. In testing I found impressive sharpness and detail in regions where there are natural, random textures such as grass, foliage, stone, water, and even skin. Using machine learning on millions of images, Topaz has trained its Gigapixel AI algorithms how to add detail into areas to increase image detail and resolution. ![]() Image enlargement algorithms have improved over the years, but even the best from ON1 Photo Raw 2019 and Alien Skin Exposure X4 are based on pixel interpolation. But there are two additional tabs to the Sharpen mode: Stabilize and Focus.ĭenoise AI interface showing split-screen preview and settings It sharpens the image, actually seeming to slightly smooth out-of-focus areas, and ignores noise. Sharpen AI has learned the difference between image information and image noise. The product names make their primary uses self-explanatory, but each goes beyond its obvious purpose. Each one functions as a standalone application, while Sharpen and DeNoise are also plug-ins for Adobe Photoshop, Adobe Photoshop Lightroom Classic, and the free Topaz Studio. Topaz has released Sharpen AI, DeNoise AI, Gigapixel AI, and JPEG to Raw AI. Firms including Adobe, Skylum, CyberLink, and Topaz are using AI to extend the capabilities of their products. Topaz Labs has introduced four new programs that use artificial intelligence to take some of the drudgery out of post-production.įrom improving image quality in smartphones to creating software presets that emulate prominent painters’ styles, the branch of AI called machine learning is changing the imaging world. ![]() ![]() Note: there is a watermark on this image because I am using the trial version of Topaz Denoise for this test.Most photographers I know would rather spend time creating new images than painstakingly enhancing recent captures. Before Denoising The image before denoising Topaz Denoise Result Topaz Denoise result Also, with more work, it probably would have been possible to improve the results in both Darktable and Capture One, but I thought it was a fairer comparison to spend a few minutes with each program and see what was possible. This comparison was not sponsored by Topaz Denoise and I didn’t get a free copy of it either. Please feel free to download these images for personal use to compare the results. I am including the unedited shot along with the images processed by the three respective programs so readers can compare the results. I am guessing this is accomplished by it being trained on a large number of images and thus being more content aware than indiscriminate denoising. ![]() Topaz has two main advantages over traditional methods: it is very good at retaining detail even with heavy noise removal, and it operates relatively automatically without the need for manual local editing. For the noisiest of images, it’s hard to beat Topaz Denoise among the three candidates, but for images with more mild noise, Topaz does not provide a noticeable advantage over more traditional methods. My conclusion is that Topaz Denoise produced the best result, with all three results being close.
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