How to Make a Blurry Video Clear: Name the Blur First, Because AI Only Repairs Two of the Four
Blog post from Atlas Cloud
Clearer video requires first identifying whether blur stems from low resolution, compression, camera shake, or missed focus, since AI upscaling is most effective for missing pixels and compression artifacts but cannot truly restore detail lost to motion smear or incorrect focus. The article tests Atlas Cloud’s free browser-based AI sharpener, which processes short clips locally with WebGPU, doubles resolution without watermarks, and works best on clips up to 320 pixels on the long edge, while a separate paid hosted model supports output up to 1080p or 2K for longer footage within specified duration and frame-rate limits. Tests found that upscaling produced the strongest gains on low-resolution footage, improving text, edges, and small light details, while compressed video saw softened block artifacts but could not regain discarded information; shaky and defocused clips gained sharper outlines but remained fundamentally blurred. For compressed messaging-app videos, obtaining the original file is preferable, while camera shake and focus errors are best prevented through stabilization, faster shutter conditions, and proper focus during recording. The piece also emphasizes preserving results through suitable export bitrates, maintaining the original frame rate, and sharing files rather than recompressed previews.
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