What is the difference between Ultra Upscale and Ultra Enhance?


The Ultra Upscale doesn't only work exclusively with pixels but also adds as relevant pixels as possible and smoothens the output as well. It multiplies each pixel in an image 2–16 times to achieve the desired resolution in a way that will add only small modifications to the image such as smoothing and removing noise, etc. The resulting image is true to the original image. It is a reliable and consistent method for companies that need the contents of the image to stay close to the same without any big 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.

Was this article helpful?