论文标题
Bband索引：无引用带伪影预测变量
BBAND Index: A No-Reference Banding Artifact Predictor
论文作者
论文摘要
绑带工件或假轮廓是一种常见的视频压缩障碍，往往在编码视频中出现在大型平面区域上。这些楼梯形的色带在高清视频中可能非常明显。在这里，我们研究此工件，并提出了一种用于预测频带工件的新型变形的无参考视频质量模型，称为盲带检测器（Bband索引）。 Bband受到人类视觉模型的启发。所提出的检测器可以生成像素频带可见度图，并在框架和视频级别上输出频带的严重性评分。实验结果表明，我们提出的方法优于最先进的频带检测算法，并在主观评估中提供更好的一致性。
Banding artifact, or false contouring, is a common video compression impairment that tends to appear on large flat regions in encoded videos. These staircase-shaped color bands can be very noticeable in high-definition videos. Here we study this artifact, and propose a new distortion-specific no-reference video quality model for predicting banding artifacts, called the Blind BANding Detector (BBAND index). BBAND is inspired by human visual models. The proposed detector can generate a pixel-wise banding visibility map and output a banding severity score at both the frame and video levels. Experimental results show that our proposed method outperforms state-of-the-art banding detection algorithms and delivers better consistency with subjective evaluations.
