Image Intensity Function Estimation and Applications in Image Enhancement and Segmentation
报告题目(Title)：Image Intensity Function Estimation and Applications in Image Enhancement and Segmentation
报告人(Speaker)：Weihong Guo (Case Western Reserve University)
地点(Place)：后主楼1223
时间(Time)：2019年7月15日上午10:00-11:00
邀请人(Inviter)：刘君
报告摘要
High quality images of various dimensions are important for both visualization and downstream analysis such as image segmentation. Images in practical applications are however often of low resolution with poor contrast and noise. In this talk, we present our recent results in analog image intensity function estimation from noisy low-resolution images with the goal of boosting image resolution. We use reproducible kernel Hilbert space (RKHS) together with redundant variants of approximated Heaviside functions to model the underlying intensity function and compute the coefficient of the dictionary from the low quality input. The RKHS part describes the smooth components while the Heaviside part picks up edges. The later one is especially effective for low quality images with low contrast. Images at any resolution are then simply the evaluation of the analog intensity function at discrete grids. We will present our recent results on RKHS and Heaviside based multispectral and hyperspectral super resolution as well local and global image segmentation.
The results are based on collaboration with Professors Liang-Jian Deng (UESTC, China), Jocelyn Chanussot (Grenoble Institute of Technology, Italy), Ke Chen (Liverpool, UK) and Liam Burrows (Liverpool, UK).
主讲人简介
Weihong Guo is an Associate Professor in Applied Mathematics at Case Western Reserve University, USA. She received the Ph.D. degree in Applied Math from University of Florida (USA) in 2007. She also received a Master’s degree in Statistics from the same university the same year. Her research interests include image reconstruction and image processing such as image super-resolution, image segmentation, image registration and their applications in medicine, biology, remote sensing, satellite imaging etc. She is an associate editor for the international journal Inverse problems and imaging and served as a guest editor for the international Journal of Biomedical Imaging.
