Adaptive Debanding Filter

• URL: http://arxiv.org/abs/2009.10804v1
• Date: Tue, 22 Sep 2020 20:44:20 GMT
• Title: Adaptive Debanding Filter
• Authors: Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, and Alan C. Bovik
• Abstract summary: Banding artifacts manifest as staircase-like color bands on pictures or video frames. We propose a content-adaptive smoothing filtering followed by dithered quantization, as a post-processing module. Experimental results show that our proposed debanding filter outperforms state-of-the-art false contour removing algorithms both visually and quantitatively.
• Score: 55.42929350861115
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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