The classic Image Upscale works exclusively with pixels. It multiplies each pixel in an image 2–8 times to achieve the desired resolution in a way that will not modify the image while adding detail to it. The resulting image is as true to the original image as possible. It is a reliable and consistent method for companies that need the contents of the image to stay precisely the same without any modifications and new elements added by artificial intelligence. It’s ideal for data such as CCTV footage, or images with delicate patterns and details. We recommend using this method for high quality images that need a higher resolution.
Ultra Enhance is based on GAN (generative adversarial network) technology and it analyzes the objects, colors, edges, corners, light and shade in the original image to add as relevant pixels as possible. It doesn't only multiply, but generates new pixels, to provide natural-looking high-quality images. That is why the smallest details in the images can be slightly modified by this method. Because it helps with making the content more appealing, it is great for stock photos, as well as product images. Another great use case is when you need to crop a small area on a photo and make it bigger. In this case the small details will be enlarged with a much higher detail without getting pixelated or blurry results.