高级视频去带

G. Baugh, A. Kokaram, François Pitié
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引用次数: 16

摘要

高效的视频编码使得在带宽受限的通信网络上传输视频成为可能。根据比特率要求,视频编码器会牺牲一些图像细节,从而引入视觉伪影。由于侵略性编码,在纹理非常低的图像区域可以观察到称为带状的轮廓阶梯伪影。本文提出了一种利用图像滤波和抖动技术去除带状伪影的方法。提出了一种新的条带指数(BI)度量,用于定量测量图像中的条带量。使用这个BI指标,我们评估了YouTube视频编码在视频测试数据集中引入了多少条带。在ffmpeg中有一个去带过滤器叫做gradfun。我们将我们的去条带技术的结果与YouTube测试数据集上的gradfun的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced video debanding
High efficiency video coding has made it possible to stream video over bandwidth constrained communication networks. Depending on bit rate requirements, a video encoder sacrifices some image details which can then introduce visual artefacts. Due to aggressive encoding a contouring staircase artefact called banding can be observed in image regions with very low texture. This paper presents a solution for removing banding artefacts using image filtering and dithering techniques. A new banding index (BI) metric is also presented for quantitatively measuring the amount of banding in an image. Using this BI metric, we assess how much banding YouTube video encoding introduces in a video test dataset. There is a debanding filter in ffmpeg called gradfun. We compare the results of our debanding technique with those of gradfun on the YouTube test dataset.
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