How the Smart Enhance algorithm works and when to use it?
User-generated content has been one of the key challenges we face here at Let's Enhance. Each image has its own unique characteristics – some are blurry, compressed, noisy or lack the required information to perform a quality upscale.
Smart Enhance is a new generation of up-scaling deep networks that works on analyzing and applying a custom, automated approach for each image to deliver the best visual result
Smart Enhance main focus is to aggressively clean image artifacts and it is currently available with x1 and x2 upscale factors. This is our first attempt in a fully-automated image processing deep network that will try to output the best possible solution for every image that gets processed.
User-generated content has been one of the key challenges we face here at Let's Enhance. Each image has its own unique characteristics – some are blurry, compressed, noisy or lack the required information to perform a quality upscale.
Smart Enhance is a new generation of up-scaling deep networks that works on analyzing and applying a custom, automated approach for each image to deliver the best visual result
Smart Enhance main focus is to aggressively clean image artifacts and it is currently available with x1 and x2 upscale factors. This is our first attempt in a fully-automated image processing deep network that will try to output the best possible solution for every image that gets processed.
Updated on: 15 / 08 / 2022