AI Glossary

Upscaling

Also called super-resolution

What does “Upscaling” mean?

Upscaling: Increasing an image's resolution while adding plausible fine detail. Traditional resizing just stretches pixels and looks blurry; AI upscalers predict textures and edges that were not in the low-resolution file. Because that detail is predicted, it can look sharp yet differ from what was really there.

Upscaling visual guide: Increasing an image's resolution while adding plausible fine detail. Traditional resizing just stretches pixels and looks blurry; AI upscalers predict textures and edges that were not in the low-resolution file. Because that detail is predicted, it can look sharp yet differ from what was really there.
Visual guide Open full size (new tab)

What is an example of “Upscaling”?

Enlarging an old 640-pixel photo for printing. Upscaled faces or text may contain invented details, so the results are unsuitable as evidence.

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See also

Image-to-imageTermDiffusion modelTermText-to-imageTerm

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