论文标题
NTIRE 2020挑战图像和视频DeBlurring
NTIRE 2020 Challenge on Image and Video Deblurring
论文作者
论文摘要
运动模糊是动态场景摄影中最常见的退化工件之一。本文回顾了关于图像和视频DeBlurring的NTIRE 2020挑战。在这一挑战中，我们介绍了3个竞争轨道以及提议的解决方案的评估结果。轨道1的目的是开发针对恢复质量的单位脱毛方法。在轨道2上，在移动平台上执行图像脱毛方法，以找到运行速度和恢复精度的平衡。跟踪3个目标，开发视频脱蓝色方法，以利用输入帧之间的时间关系。在每场比赛中，都有163、135和102名注册参与者，在最后的测试阶段，参加了9、4和7支球队。获胜方法展示了图像和视频脱张任务上的最先进的性能。
Motion blur is one of the most common degradation artifacts in dynamic scene photography. This paper reviews the NTIRE 2020 Challenge on Image and Video Deblurring. In this challenge, we present the evaluation results from 3 competition tracks as well as the proposed solutions. Track 1 aims to develop single-image deblurring methods focusing on restoration quality. On Track 2, the image deblurring methods are executed on a mobile platform to find the balance of the running speed and the restoration accuracy. Track 3 targets developing video deblurring methods that exploit the temporal relation between input frames. In each competition, there were 163, 135, and 102 registered participants and in the final testing phase, 9, 4, and 7 teams competed. The winning methods demonstrate the state-ofthe-art performance on image and video deblurring tasks.
