FS-BAND: A Frequency-Sensitive Banding Detector

• URL: http://arxiv.org/abs/2311.18216v1
• Date: Thu, 30 Nov 2023 03:20:42 GMT
• Title: FS-BAND: A Frequency-Sensitive Banding Detector
• Authors: Zijian Chen, Wei Sun, Zicheng Zhang, Ru Huang, Fangfang Lu, Xiongkuo Min, Guangtao Zhai, Wenjun Zhang
• Abstract summary: Banding artifact, as known as staircase-like contour, is a common quality annoyance that happens in compression, transmission, etc. We propose a no-reference banding detection model to capture and evaluate banding artifacts, called the Frequency-Sensitive BANding Detector (FS-BAND) 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.
• Score: 55.59101150019851
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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