mlsanityData to 14 Oct 2026

Banding vs. Quality: Perceptual Impact and Objective Assessment

arXiv 2202.11038 ↗First posted 22 Feb 2022cs.MM eess.IVcited by 4

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Abstract (arXiv)

Staircase-like contours introduced to a video by quantization in flat areas, commonly known as banding, have been a long-standing problem in both video processing and quality assessment communities. The fact that even a relatively small change of the original pixel values can result in a strong impact on perceived quality makes banding especially difficult to be detected by objective quality metrics. In this paper, we study how banding annoyance compares to more commonly studied scaling and compression artifacts with respect to the overall perceptual quality. We further propose a simple combination of VMAF and the recently developed banding index, CAMBI, into a banding-aware video quality metric showing improved correlation with overall perceived quality.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Feb 2022.

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Citing papers per year: 2023: 3; 2024: 0; 2025: 1.

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  1. 2021CAMBI: Contrast-aware Multiscale Banding Index
  2. 2025RIFLE: Removal of Image Flicker-Banding via Latent Diffusion Enhancement
  3. 2026Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding
  4. 2026Seeing Beyond 8bits: Subjective and Objective Quality Assessment of HDR-UGC Videos
  5. 2023Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach
  6. 2025Guiding WaveMamba with Frequency Maps for Image Debanding
  7. 2021A Subjective Study on Videos at Various Bit Depths
  8. 2021Study of Compression Statistics and Prediction of Rate-Distortion Curves for Video Texture