构建首个针对超分辨率广播图像的主观客观评估数据集
Subjective and Objective Quality Evaluation of Super-Resolution Enhanced Broadcast Images on a Novel SR-IQA Dataset
- 创建2K与4K分辨率的SR广播图像IQA数据集
- 通过人类评测获得平均评分（MOS），发现现有指标相关性不足
- 揭示了提升画质感知的关键因素，适合视频质量研究者参考
为在高分辨率屏幕上以全屏格式展示低质量广播内容，超分辨率（SR）技术至关重要。近年来的SR方法不仅能提升分辨率并保留原始信息，还能增强视觉感知质量。然而，对低质量源生成的SR图像进行质量评估极具挑战，需同时考虑失真与改进。尤其当缺乏原始高清参考时，评估难度更大。目前针对此类场景的图像质量评估（IQA）研究十分匮乏。本文提出一个面向SR广播图像的新IQA数据集，涵盖2K和4K分辨率。通过主观质量评估获取均值意见分数（MOS），并开展全面的人类研究，识别影响感知质量的关键因素。最后，评估现有IQA指标在该数据集上的表现。结果表明当前指标存在明显局限，亟需更贴近感知质量的鲁棒性评估方法。
原文摘要 · Abstract (English)
To display low-quality broadcast content on high-resolution screens in full-screen format, the application of Super-Resolution (SR), a key consumer technology, is essential. Recently, SR methods have been developed that not only increase resolution while preserving the original image information but also enhance the perceived quality. However, evaluating the quality of SR images generated from low-quality sources, such as SR-enhanced broadcast content, is challenging due to the need to consider both distortions and improvements. Additionally, assessing SR image quality without original high-quality sources presents another significant challenge. Unfortunately, there has been a dearth of research specifically addressing the Image Quality Assessment (IQA) of SR images under these conditions. In this work, we introduce a new IQA dataset for SR broadcast images in both 2K and 4K resolutions. We conducted a subjective quality evaluation to obtain the Mean Opinion Score (MOS) for these SR images and performed a comprehensive human study to identify the key factors influencing the perceived quality. Finally, we evaluated the performance of existing IQA metrics on our dataset. This study reveals the limitations of current metrics, highlighting the need for a more robust IQA metric that better correlates with the perceived quality of SR images.
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