This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022. This challenge is held to address the emerging challenge of IQA by perceptual image processing algorithms. The output images of these algorithms have completely different characteristics from traditional distortions and are included in the PIPAL dataset used in this challenge. This challenge is divided into two tracks, a full-reference IQA track similar to the previous NTIRE IQA challenge and a new track that focuses on the no-reference IQA methods. The challenge has 192 and 179 registered participants for two tracks. In the final testing stage, 7 and 8 participating teams submitted their models and fact sheets. Almost all of them have achieved better results than existing IQA methods, and the winning method can demonstrate state-of-the-art performance.
翻译:本文报告了2022年在CVPR 2022年CVPR的图像恢复与增强新趋势讲习班(NTIRE)期间举行的2022年图像质量评估NTIRE挑战,挑战在于通过感知图像处理算法应对IQA的新挑战,这些算法的输出图像与传统扭曲有完全不同的特点,并包含在这项挑战中使用的PIPAL数据集中,这一挑战分为两条轨道,一条完全参照IQA轨道,与前NTIRE IQA的挑战相似,一条新的轨道,侧重于不参考的IQA方法,挑战有192和179名注册参与者,分两条轨道参加,在最后测试阶段,7和8个参与小组提交了模型和概况介绍,几乎所有模型和概况介绍都比现有的IQA方法取得了更好的结果,获胜方法可以展示最新业绩。