The document explains that super-resolution uses generative AI to upscale low-resolution images and video by combining non-redundant details across frames, producing sharper, higher-resolution content. It is especially valuable for remastering old TV shows, films, documentaries, anime, and sports footage to meet modern HD and 4K expectations. The workflow on the page shows low-resolution input, frame alignment, deep learning models such as GANs and CNNs, and high-resolution output. Sample performance metrics show 4× upscaling completed in minutes. Benefits include cost-effective enhancement, new monetization opportunities, and OTT-ready content.

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