Super-resolution models are primarily found in the fields of Artificial Intelligence, Digital Transformation, and Big Data and Smart Data. These AI models help to display images and videos in significantly better quality than they were originally captured.<\/p>\n
Imagine you have a blurry holiday photo where important details are missing. A super-resolution model can analyse this image and, using learnable algorithms, generate sharper, more detailed versions. This works because the model has already been trained on millions of images and \u201eknows\u201c what details should look like at high resolution.<\/p>\n
In practice, companies benefit when they require high-quality old or low-resolution image or video recordings for presentations, marketing, or research. For example, super-resolution models can make surveillance camera footage clearer or enhance product photos in an online shop \u2013 all automatically, without significant manual effort.<\/p>\n
Super-resolution models make it possible to get more out of existing image data, thereby significantly increasing the added value of existing digital media.<\/p>","protected":false},"excerpt":{"rendered":"