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CAMBI: Contrast-aware Multiscale Banding Index

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arxiv 2102.00079 v1 pith:2IRFUP2I submitted 2021-01-29 eess.IV cs.CV

classification eess.IVcs.CV
keywords bandingcambiindexartifactscontrast-awaremultiscalesubjectivevideo
verification ladder T0 review T1 audit T2 compute T3 formal
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Banding artifacts are artificially-introduced contours arising from the quantization of a smooth region in a video. Despite the advent of recent higher quality video systems with more efficient codecs, these artifacts remain conspicuous, especially on larger displays. In this work, a comprehensive subjective study is performed to understand the dependence of the banding visibility on encoding parameters and dithering. We subsequently develop a simple and intuitive no-reference banding index called CAMBI (Contrast-aware Multiscale Banding Index) which uses insights from Contrast Sensitivity Function in the Human Visual System to predict banding visibility. CAMBI correlates well with subjective perception of banding while using only a few visually-motivated hyperparameters.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos

    cs.CV 2025-06 conditional novelty 6.0 of 10

    The paper introduces a 3,254-video benchmark with pixel-level artifact masks for AI-generated video, and reports that fine-tuning on it improves artifact localization.

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