论文标题
CUID：一项关于感知图像质量及其主观评估的新研究
Cuid: A new study of perceived image quality and its subjective assessment
论文作者
论文摘要
图像质量评估（IQA）的研究仍然有限，这主要是由于我们对人类视觉感知的了解不完整。现有的IQA算法已经被设计或培训，其主观数据不足，具有较小的刺激变异性。这导致了这些算法要处理现实世界数字内容的复杂性和多样性的挑战。来自人类受试者的感知证据是发展高级IQA算法的基础。因此，通过受控的感知实验获得可靠的主观数据至关重要，这些数据忠实地反映了人类对视觉信号扭曲的行为反应。在本文中，我们介绍了图像质量感知的新研究，其中在受控的实验室环境中收集了主观评分。我们研究了质量感知如何受到不同类别图像以及不同类型和扭曲水平的组合的影响。该数据库将公开使用，以促进IQA算法的校准和验证。
Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or trained with insufficient subjective data with a small degree of stimulus variability. This has led to challenges for those algorithms to handle complexity and diversity of real-world digital content. Perceptual evidence from human subjects serves as a grounding for the development of advanced IQA algorithms. It is thus critical to acquire reliable subjective data with controlled perception experiments that faithfully reflect human behavioural responses to distortions in visual signals. In this paper, we present a new study of image quality perception where subjective ratings were collected in a controlled lab environment. We investigate how quality perception is affected by a combination of different categories of images and different types and levels of distortions. The database will be made publicly available to facilitate calibration and validation of IQA algorithms.
