Restoration Networks

Restoration networks are advanced computer models designed to improve or recover images that are blurry, damaged, or corrupted. They analyze the flawed image and generate a clearer, more accurate version by learning patterns and details from many examples. Think of them as highly trained visual repair tools that can restore old photos, remove noise, or enhance clarity, making images more true to their original quality. These networks utilize deep learning techniques to understand complex visual information and produce high-quality restorations efficiently.