题目：A Multiscale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing

报告人：杨银 教授 （湘潭大学 数学与计算科学学院）

地点：宁静楼117室

时间：2024年7月3日 星期三 8:00-9:00

摘要：Remote sensing images are essential for many applications of the Earth’s sciences, but their quality can usually be degraded due to limitations in sensor technology and complex imaging environments. To address this, various remote sensing image deblurring methods have been developed to restore sharp and high-quality images from degraded observational data. However, most traditional model-based deblurring methods usually require predefined hand-crafted prior assumptions, which are difficult to handle in complex applications. On the other hand, deep learning-based deblurring methods are often considered as black boxes, lacking transparency and interpretability. In this work, we propose a new blind deblurring learning framework that utilizes alternating iterations of shrinkage thresholds. This framework involves updating blurring kernels and images, with a theoretical foundation in network design. Additionally, we propose a learnable blur kernel proximal mapping module (KPMM) to improve the accuracy of the blur kernel reconstruction. Furthermore, we propose a deep proximal mapping module in the image domain, which combines a generalized shrinkage threshold with a multiscale prior feature extraction block. This module also incorporates an attention mechanism to learn adaptively the importance of prior information, improving the flexibility and robustness of prior terms, and avoiding limitations similar to hand-crafted image prior terms. Consequently, we design a novel multiscale generalized shrinkage threshold network (MGSTNet) that focuses specifically on learning deep geometric prior features to enhance image restoration. Experimental results on real and synthetic remote sensing image datasets demonstrate the superiority of our MGSTNet framework compared to existing deblurring methods.

杨银教授是湘潭大学数学与计算科学学院院长、博士生导师，湖南国家应用数学中心常务副主任；主要从事微分方程数值解的研究，主持国家重大研究计划项目课题1项、国家自然科学基金项目4项，发表学术论文60余篇；获湖南省科技创新领军人才、湖南省杰出青年基金、湖南省首届芙蓉青年学者、湖南省担当作为优秀干部、湖南省教学成果特等奖等奖励。

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