Name
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LSP.2020.3024985 | IEEE SIGNAL PROCESSING LETTERS |
Keywords | DocType | Volume |
Quantization (signal), Streaming media, Smoothing methods, Image edge detection, Image reconstruction, Visualization, Image color analysis, Debanding, false contour, compression artifact, dithering, post-processing | Journal | 27 |
ISSN | Citations | PageRank |
1070-9908 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tu Zhengzhong | 1 | 5 | 1.08 |
| Jessie Lin | 2 | 0 | 0.68 |
| Yilin Wang | 3 | 3 | 3.15 |
| Balu Adsumilli | 4 | 16 | 8.19 |
| Alan C. Bovik | 5 | 5062 | 349.55 |