Banding artifact, as known as staircase-like contour, is a common quality
annoyance that happens in compression, transmission, etc. scenarios, which
largely affects the user's quality of experience (QoE). The banding distortion
typically appears as relatively small pixel-wise variations in smooth
backgrounds, which is difficult to analyze in the spatial domain but easily
reflected in the frequency domain. In this paper, we thereby study the banding
artifact from the frequency aspect and propose a no-reference banding detection
model to capture and evaluate banding artifacts, called the Frequency-Sensitive
BANding Detector (FS-BAND). The proposed detector is able to generate a
pixel-wise banding map with a perception correlated quality score. Experimental
results show that the proposed FS-BAND method outperforms state-of-the-art
image quality assessment (IQA) approaches with higher accuracy in banding
classification task.

该论文研究了频率方面的条纹伪影，并提出了一种无参考条纹检测模型，名为频率敏感的 BANding 检测器（FS-BAND）。实验结果表明，该方法在条纹分类任务中具有更高的准确性，优于现有的图像质量评估方法。