题目：Rank-One Prior: Real-Time Scene Recovery
报告人：曾铁勇 教授（香港中文大学）
邀请人：白敏茹 教授
时间：2023年12月21日 下午4：00-5：00
地点：203报告厅
摘要: Scene recovery is a fundamental imaging task with several practical applications, including video surveillance and autonomous vehicles, etc. In this talk, we provide a new real-time scene recovery framework to restore degraded images under different weather/imaging conditions, such as underwater, sand dust and haze. A degraded image can actually be seen as a superimposition of a clear image with the same color imaging environment (underwater, sand or haze, etc.). Mathematically, we can introduce a rank-one matrix to characterize this phenomenon, i.e., rank-one prior (ROP). Using the prior, a direct method with the complexity O(N) is derived for real-time recovery. For general cases, we develop ROP + to further improve the recovery performance. Comprehensive experiments of the scene recovery illustrate that our method outperforms competitively several state-of-the-art imaging methods in terms of efficiency and robustness.
专家简介: 曾鐵勇2018年加入香港中文大学数学系, 现任香港中文大学终身正教授。自2020年起，他与同事一起创立了数学人工智能中心（CMAI），并担任CMAI主任。其主要研究方向为图像处理、优化、人工智能、科学计算、计算机视觉、机器学习和反问题。实验室近年来已在TPAMI、IJCV、IEEE TIP、TMI, TNNLS、CVPR、ICCV、SIAM等顶级期刊和会议上发表论文多篇，累计发表论文100余篇。有志于从事计算机视觉和机器学习研究的同学欢迎申请，主要研究方向为：自然图像处理、医学图像处理、图像复原、图像分割、目标检测、图像/视频压缩等。
