UAV-Rain1k：无人机航拍图像雨滴去除基准
UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagery
AI总结：
针对无人机航拍图像雨滴去除研究缺失的问题，构建了UAV-Rain1k基准数据集，提出含Blender雨滴建模的生成流程，评估现有去雨算法并指明研究方向。
摘要：
附着在无人机镜头上的雨滴会遮挡背景场景的视野，降低图像质量。尽管图像去雨方法和数据集近期取得了进展，但由于无人机飞行过程中角度多变、运动快速带来的独特挑战，目前缺乏针对无人机航拍图像雨滴去除的研究。为填补这一研究空白，我们首先构建了一个全新的无人机图像雨滴去除基准数据集，名为UAV-Rain1k。本研究提出了一套数据集生成流程，包括使用Blender建模雨滴形状、采集不同无人机角度的背景图像、随机采样雨掩膜等步骤。基于所提出的基准，我们进一步对现有代表性图像去雨算法进行了综合评估，并揭示了值得探索的未来研究方向。该数据集已在https://github.com/cschenxiang/UAV-Rain1k 公开发布。
英文摘要：
Raindrops adhering to the lens of UAVs can obstruct visibility of the background scene and degrade image quality. Despite recent progress in image deraining methods and datasets, there is a lack of focus on raindrop removal from UAV aerial imagery due to the unique challenges posed by varying angles and rapid movement during drone flight. To fill the gap in this research, we first construct a new benchmark dataset for removing raindrops from UAV images, called UAV-Rain1k. In this letter, we provide a dataset generation pipeline, which includes modeling raindrop shapes using Blender, collecting background images from various UAV angles, random sampling of rain masks and etc. Based on the proposed benchmark, we further present a comprehensive evaluation of existing representative image deraining algorithms, and reveal future research opportunities worth exploring. The proposed dataset is publicly available at https://github.com/cschenxiang/UAV-Rain1k.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
