What does Quantisation in video mean?
Quantisation maps a range of values into a limited set of representable steps. In video processing and compression, those choices influence how much precision is retained and how visible errors become.
Why it matters
Some loss is an intentional part of reducing data, but coarse steps can become noticeable as banding, flattened texture or other artefacts. The visible result depends on scene content and later processing. Increasing output resolution or changing a file extension does not reverse an earlier quantisation loss; the original distinctions may no longer exist in the delivered representation.
A practical example
A smooth dim wall can reveal broad tonal steps after aggressive processing even though the frame is labelled 4K. A busy daytime scene may hide the same kind of precision loss more effectively, so assess several representative passages rather than relying on a single vivid image.
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Related terminology: QR activation image, QUIC.
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