Super-resolution upscales footage by predicting the fine detail a low-resolution frame lacks, rather than just stretching pixels. It restores archive video and rescues compressed streams, though it can invent detail, so output needs review for fidelity-critical uses.

Book cover: AI for Video, Volume 6 of the Fora Soft Video Engineering Handbook

The book · Volume 6 of 7

AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video

Super-resolution can rescue low-resolution footage, but invented detail on faces and text is a real risk for news, medical or legal video. Volume 6 covers super-resolution in detail within AI enhancement: upscaling models such as Real-ESRGAN and BasicVSR++, generative video, model artifacts and running enhancement as a batch or live feature. Written by Nikolay Sapunov, CEO at Fora Soft.

Read it on Amazon →Kindle & paperback · Fora Soft Video Engineering Handbook

Upscaling low-resolution video with super-resolution without fake-looking detail?

Share sample clips and target resolution, and we will test super-resolution models on them and estimate processing time and GPU cost. 250+ video products shipped since 2005.

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