For retina or high DPI monitors, view at 200%.

For regular monitors, set the viewing resolution to 100%. Note 2: I recommend you view the sample images on a laptop or desktop monitor and not your phone. Bicubic smoother may appear initially worse than other methods, but it can be sharpened more (because none was added in the interpolation process). Note 1: it’s always difficult to compare upscaling methods because they often include different amounts of sharpening. So I decided to run some tests on Adobe’s Super Resolution and compare it to both Gigapixel AI and bicubic smoother, which I think is the best default in the LR/PS world. Topaz products have become quite popular to fix less than perfect image captures and I know many photographers use Topaz at least occaisonally.īecause I like to make large prints and I have a bit of OCD when it comes to pixel peeping both these products are of great interest to me (plus they are very cool uses of technology). The obvious intent of this update is to compete with programs like Topaz GigaPixel AI for upscaling. The difference with AI methods is that they can actually manufacture details and textures and not just scale what exists. In traditional upscaling methods, one basically stretches the image to cover more pixels and it works much like curve fitting in algebra (i.e. The main point of this update is to use AI and machine learning techniques to learn how to upscale an image to a higher resolution. Adobe Super Resolution and Topaz Gigapixel AiĪdobe just released a new update to Camera Raw with a feature they call Super Resolution (this should be available in Lightroom soon).

Topaz giga