Single Image Super Resolution and Applications in Multispectral Imaging

主讲教师:郭卫红 人气:2015 更新时间: 2017年01月06日
内容提要:Image super-resolution (SR), a process to enhance image resolution, has important applications in satellite imaging, high-definition television, medical imaging, and so on. Many existing approaches use multiple low-resolution (LR) images to recover one high-resolution (HR) image. We will present an iterative scheme to solve singleimage SR problems. It recovers a high-quality HR image from solely one LR image without using a training data set. We solve the problem from image intensity function estimation perspective and assume that the image contains smooth and edge components. We model the smooth components of an image using a thin-plate reproducing kernel Hilbert space and the edges using approximated Heaviside functions. We will also talk about the extension of the idea to pansharpening which fuses 3D low resolution multispectral images and a 2D high resolution panchromatic images for 3D high resolution multispectral images. The results incolve collaboration with Richard Lartey (CWRU, USA), Liang-Jian Deng (UESTC, China), Jocelyn Chanussot (Grenoble Institute of Technology, France) and Xiaoxiang Zhu (TUM, Germany). 报告人简介: Weihong Guo is an Applied Math Associate Professor 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. Prof. Guo is an associate editor of the international journal Inverse Problems and Imaging. She also served as an editor for International Journal of Biomedical Imaging. She has published more than 30 papers in various well-known international journals including SIAM J. Imaging Sciences, Inverse Problems and Imaging, Information Sciences, Journal of Computational and Applied Mathematics, IEEE Transactions on Circuits and Systems for Video Technology, Magnetic Resonance Imaging and Magnetic Resonance in Medicine. Prof. Guo has also referred papers for more than 20 international journals and conferences.


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