Method of Image Quality Improvement for Atmospheric Turbulence Degradation Sequence Based on Graph Laplacian Filter and Nonrigid Registration

Wu Jing; Su Xiuqin

首页> 外文期刊>Mathematical Problems in Engineering >Method of Image Quality Improvement for Atmospheric Turbulence Degradation Sequence Based on Graph Laplacian Filter and Nonrigid Registration

【24h】

Method of Image Quality Improvement for Atmospheric Turbulence Degradation Sequence Based on Graph Laplacian Filter and Nonrigid Registration

机译：基于图拉普拉斯滤波和非刚性配准的大气湍流退化序列图像质量改进方法

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

It is challenging to restore a clear image from an atmospheric degraded sequence. The main reason for the image degradation is geometric distortion and blurring caused by turbulence. In this paper, we present a method to eliminate geometric distortion and blur and to recover a single high-quality image from the degraded sequence images. First, we use optical flow technology to register the sequence images, thereby suppressing the geometric deformation of each frame. Next, sequence images are summed by a temporal filter to obtain a single blurred image. Then, the graph Laplacian matrix is used as the cost function to construct the regularization term. The final clear image and point spread function are obtained by iteratively solving the problem. Experiments show that the method can effectively eliminate the distortion and blur, restore the image details, and significantly improve the image quality.

机译：从大气退化的序列中恢复清晰的图像具有挑战性。图像质量下降的主要原因是湍流引起的几何变形和模糊。在本文中，我们提出了一种消除几何失真和模糊并从降级序列图像中恢复单个高质量图像的方法。首先，我们使用光流技术配准序列图像，从而抑制每个帧的几何变形。接下来，通过时间滤波器将序列图像相加以获得单个模糊图像。然后，将图拉普拉斯矩阵用作成本函数来构造正则项。最终的清晰图像和点扩展函数是通过迭代解决该问题而获得的。实验表明，该方法可以有效消除畸变和模糊，恢复图像细节，显着提高图像质量。

著录项

来源
《Mathematical Problems in Engineering》 |2018年第9期|4970907.1-4970907.15|共15页
作者
Wu Jing; Su Xiuqin;
展开▼
作者单位

Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, ShaanXi, Peoples R China;

Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Method of Image Quality Improvement for Atmospheric Turbulence Degradation Sequence Based on Graph Laplacian Filter and Nonrigid Registration [J] . Jing Wu, Xiuqin Su Mathematical Problems in Engineering: Theory, Methods and Applications . 2018,第5期

机译：基于图拉普拉斯滤波和非刚性配准的大气湍流退化序列图像质量改进方法
2. Feature Based Nonrigid Brain MR Image Registration With Symmetric Alpha Stable Filters [J] . Liao S., Chung A. C. S. Medical Imaging, IEEE Transactions on . 2010,第1期

机译：基于特征的非刚性脑MR图像配准对称Alpha稳定滤波器
3. Improvement of In Vivo Quantification of [~(123)I]-Iodobenzovesamicol in Single-Photon Emission Computed Tomography/Computed Tomography Using Anatomic Image to Brain Atlas Nonrigid Registration [J] . Frederic Lamare, Joachim Mazere, Mathieu Attila, Molecular imaging . 2013,第5期

机译：在单光子发射计算机断层扫描/计算机断层扫描中使用解剖图像对脑图谱进行非刚性配准的[〜（123）I]-碘苯并氨基苯甲酸体内定量的改进
4. Based on B-splines Non-rigid Registration Method for Atmospheric Turbulence Degraded Image [C] . Li Dongming, Lv Panfeng, Liu Huan, Chinese Society for Optical Engineering conferences . 2016

机译：基于B样条非刚性配准的大气湍流退化图像
5. A new method for nonrigid registration of three-dimensional images. [D] . Akinlar, Mehmet Ali. 2009

机译：一种非刚性的三维图像配准的新方法。
6. Supervoxels for Graph Cuts-Based Deformable Image Registration Using Guided Image Filtering [O] . Adam Szmul, Bartłomiej W. Papież, Andre Hallack, -1

机译：使用引导图像过滤的基于图割的可变形图像配准的超级体素
7. Feature Based Nonrigid Brain MR Image Registration With Symmetric Alpha Stable Filters [O] . Liao Shu, Chung Albert Chi Shing 2010

机译：基于特征的非刚性脑MR图像配准对称Alpha稳定滤波器
8. Image quality degradation and retrieval errors introduced by registration and interpolation of multispectral digital images [R] . Henderson, B. G. , Borel, C. C. , Theiler, J. P. , 1996

机译：多光谱数字图像的配准和插值引入的图像质量下降和检索误差

Method of Image Quality Improvement for Atmospheric Turbulence Degradation Sequence Based on Graph Laplacian Filter and Nonrigid Registration

摘要

著录项

相似文献

相关主题

期刊订阅