Super-resolution models are primarily used in the fields of artificial intelligence, digital transformation, big data and smart data. These AI models help to display images and videos in significantly better quality than they were originally recorded.
Imagine you have a blurred holiday photo that is missing important details. A super-resolution model can analyse this image and generate sharper, more detailed versions with the help of adaptive algorithms. This works because the model has already been trained on millions of images and "knows" what details should look like at high resolution.
In practice, companies benefit from this when they need old or low-quality image or video recordings in high quality for presentations, marketing or research. For example, super-resolution models can make videos from surveillance cameras clearer or enhance product photos in online shops - all automatically, without much manual effort.
Super-resolution models make it possible to get more out of existing image data and thus significantly increase the added value of existing digital media.
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