Adaptive Debanding Filter
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Abstract (arXiv)
Banding artifacts, which manifest as staircase-like color bands on pictures or video frames, is a common distortion caused by compression of low-textured smooth regions. These false contours can be very noticeable even on high-quality videos, especially when displayed on high-definition screens. Yet, relatively little attention has been applied to this problem. Here we consider banding artifact removal as a visual enhancement problem, and accordingly, we solve it by applying a form of content-adaptive smoothing filtering followed by dithered quantization, as a post-processing module. The proposed debanding filter is able to adaptively smooth banded regions while preserving image edges and details, yielding perceptually enhanced gradient rendering with limited bit-depths. Experimental results show that our proposed debanding filter outperforms state-of-the-art false contour removing algorithms both visually and quantitatively.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Sep 2020.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 0; 2024: 0; 2025: 1.
5 papers.
- 2021RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Contentcited by 100
- 2022Efficient-VDVAE: Less is morecited by 26
- 2021Deep Image Debandingcited by 2
- 2022Bit-depth enhancement detection for compressed videocited by 0
- 2025Guiding WaveMamba with Frequency Maps for Image Debandingcited by 0
- 2025Guiding WaveMamba with Frequency Maps for Image Debanding15 Aug 2025
- 2022Bit-depth enhancement detection for compressed video9 Nov 2022
- 2022Efficient-VDVAE: Less is more25 Mar 2022
- 2021Deep Image Debanding16 Oct 2021
- 2021RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content26 Jan 2021