Reference
Upscaling glossary
Twenty terms you’ll meet in upscaler settings, reviews and papers, each in a sentence or two.
- Artefact
- Any visible error introduced by processing: halos, ringing, blocks, seams, waxy skin, repeated texture.
- Bicubic interpolation
- A classic resizing method that estimates new pixels from a 4 × 4 neighbourhood. Smooth, fast, adds no detail.
- Creative upscaling
- Upscaling with a generative model (usually diffusion) that adds plausible new detail. See creative vs faithful.
- Degradation model
- The set of damages (blur, noise, compression, downscaling) a model is trained to undo.
- Denoise strength
- In diffusion upscalers, how much noise is added before regeneration. Higher means more change.
- DPI / PPI
- Dots per inch (printer) vs pixels per inch (image on paper). Often used interchangeably. See the print guide.
- Face restoration
- A specialised model (e.g. GFPGAN, CodeFormer) that rebuilds facial detail. Powerful, and risky for identity.
- Faithful upscaling
- Upscaling that reconstructs what the pixels imply and avoids adding new content.
- GAN
- Generative adversarial network: a generator trained against a discriminator. Gives sharp, realistic texture.
- Hallucination
- Detail that the model generated and that wasn’t in the source. Desired in AI art, a problem in evidence.
- Lanczos
- A sharper classic resampling filter. Can cause slight ringing near edges.
- LPIPS
- A perceptual similarity metric based on deep network features (Zhang et al., 2018).
- Megapixel (MP)
- One million pixels. 4000 × 3000 px = 12 MP. Many services price or limit by output megapixels.
- Nearest-neighbour
- Copies the closest pixel. Blocky, but correct for pixel art at integer scales.
- PSNR
- Peak signal-to-noise ratio: pixel-level fidelity to a reference. Tends to reward blur.
- Resemblance / structure
- Controls in creative upscalers that keep the output close to the input’s shapes.
- Ringing
- Faint light/dark ripples beside sharp edges, typical of over-sharpening and some filters.
- Scale factor
- Multiplier per side: 4× of 1000 px wide is 4000 px wide (16× the pixels).
- Super-resolution
- Producing a higher-resolution image from a lower-resolution one. See explainer.
- Tiling
- Processing a large image in overlapping tiles to fit in memory. Too little overlap causes seams.