激光技术2024，Vol.48Issue(4)：463-469,7.DOI:10.7510/jgjs.issn.1001-3806.2024.04.002
基于非局部先验红外运动模糊图像复原方法
A non-local prior of infrared motion blurred image restoration method
何易德 1朱斌 1汤磊 1蒲小平 2王升哲 1代辉 1郭志伟 1王捷1
作者信息
- 1. 西南技术物理研究所,成都 610046,中国
- 2. 中国人民解放军93128部队,北京 100843,中国
- 折叠
摘要
Abstract
In order to restore motion degradation blur of the strap-down guidance infrared seeker,a non-local sparse prior constraint modeling method for infrared images was proposed.By analyzing the infrared motion blur imaging features of the strap-down platform,a non-local sparse prior constraint modeling method based on motion information was proposed in the blind deconvolution framework,which can estimate the motion blur kernel of the image and restore the infrared motion blur image.The result shows that the non-local sparse prior constraint method based on motion information proposed in this paper is highly targeted and can effectively restore infrared motion blurred images with large motion amplitudes.Cumulative probability of blur detection,structural similarity,peak signal-to-noise ratio all show varying degrees of improvement,especially peak signal-to-noise ratio increases by nearly 8％,and the larger the motion amplitude,the more obvious the restoration results.This study lays the foundation for the application of the strap-down guidance infrared imaging system.关键词
图像处理/红外运动模糊图像复原/运动成像特征/非局部稀疏先验Key words
image processing/infrared motion blurred image restoration/motion imaging features/non-local sparse prior分类
电子信息工程引用本文复制引用
何易德,朱斌,汤磊,蒲小平,王升哲,代辉,郭志伟,王捷..基于非局部先验红外运动模糊图像复原方法[J].激光技术,2024,48(4):463-469,7.
