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Upscaling

Raising the resolution of an existing image by learning the transformation rather than interpolating pixels.

Official source: Image Super-Resolution Using Deep Convolutional Networks →

The founding work establishes it under another name — single-image super-resolution — as an end-to-end mapping learned directly between the low- and high-resolution image, optimised as one network instead of as separate stages. The term commonly used for the operation is not the term the source uses for it.

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Sources

What this page is based on — every source is verified and links out so you can check it yourself.

  1. Image Super-Resolution Using Deep Convolutional Networksverified · 2026-08-15 · agent:verification