报告题目：Variational Modelling for low-light image enhancement

报告人：马倩婷

报告时间：2023年12月03日（周日）15:00开始

报告地点：数学楼315会议室

报告摘要：Images captured by digital devices in low-light conditions often suffer from poor quality, such as low contrast, incorrect focus, insufficient or uneven illumination and high noise. Such degradations not only lead to unpleasing images for human vision but also make it difficult for subsequent accurate image processing tasks, especially in all-day automated image analyzing systems. In this talk, we will learn about some of these mathematical problems, about variational models for image analysis and recent advances where such mathematical models are complemented and replaced by deep neural networks. The talk is furnished with applications to image enhancement and image restoration.

报告人简介：浙江大学理学博士，香港中文大学博士后研究员，南京信息工程大学副教授、硕士研究生导师，中国工业与应用数学学会数学与医学交叉学科专业委员会委员，中国生物医学工程学会医学人工智能分会算法专家组成员，主要从事图像处理、医学图像处理，优化算法、深度学习在图像处理中的应用，包括图像复原、图像分割及识别等研究工作，主持国家自然科学基金青年基金项目一项，入选2019年江苏省“双创计划”双创博士一项，南京信息工程大学人才启动基金项目一项，目前已经发表学术论文多篇。