论文标题
智能手机相机照片质量评估的多个属性图像质量数据库
A multiple attributes image quality database for smartphone camera photo quality assessment
论文作者
论文摘要
智能手机是数字设备市场中的超级巨星产品，智能手机相机照片（SCP）的质量正成为消费者购买智能手机时的主要考虑因素之一。如何评估智能手机相机的质量和拍摄照片是紧迫的问题。为了弥合学术研究成就和工业需求之间的差距，在本文中，我们建立了一个新的智能手机相机照片质量数据库（SCPQD2020），其中包括1800张图像，其中包含15个智能手机拍摄的120个场景。在主观研究中分别评估了影响SCP质量的四个主要因素的暴露，颜色，噪声和纹理。在我们的数据库上测试和分析了十种流行的无参考（NR）图像质量评估（IQA）算法。实验结果表明，当前的目标模型不适合SCP，并且非常需要与人类视觉感知高度相关的质量指标。
Smartphone is the superstar product in digital device market and the quality of smartphone camera photos (SCPs) is becoming one of the dominant considerations when consumers purchase smartphones. How to evaluate the quality of smartphone cameras and the taken photos is urgent issue to be solved. To bridge the gap between academic research accomplishment and industrial needs, in this paper, we establish a new Smartphone Camera Photo Quality Database (SCPQD2020) including 1800 images with 120 scenes taken by 15 smartphones. Exposure, color, noise and texture which are four dominant factors influencing the quality of SCP are evaluated in the subjective study, respectively. Ten popular no-reference (NR) image quality assessment (IQA) algorithms are tested and analyzed on our database. Experimental results demonstrate that the current objective models are not suitable for SCPs, and quality metrics having high correlation with human visual perception are highly needed.
