Parallel restoration for motion-blurred aerial image

LI Shi; ZHANG Bao; SUN Hui

doi:null

您当前的位置：

首页 >

文章列表页 >

Parallel restoration for motion-blurred aerial image

Article | 更新时间：2020-08-12

- Parallel restoration for motion-blurred aerial image
- Optics and Precision Engineering Vol. 17, Issue 1, Pages: 225-230(2009)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院研究生院北京,100039
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：16 April 2008，
  
  Revised：06 June 2008，
  
  Published：2009
- 稿件说明：
移动端阅览
李仕, 张葆, 孙辉. 航空成像像移补偿的并行计算[J]. 光学精密工程, 2009,17(1): 225-230

LI Shi, ZHANG Bao, SUN Hui. Parallel restoration for motion-blurred aerial image[J]. Editorial Office of Optics and Precision Engineering, 2009,17(1): 225-230
李仕, 张葆, 孙辉. 航空成像像移补偿的并行计算[J]. 光学精密工程, 2009,17(1): 225-230 DOI：

LI Shi, ZHANG Bao, SUN Hui. Parallel restoration for motion-blurred aerial image[J]. Editorial Office of Optics and Precision Engineering, 2009,17(1): 225-230 DOI：

摘要

基于图像处理器(GPU)平台提出了维纳并行滤波算法

解决了航空成像的像移实时补偿问题。介绍了原有像移补偿算法及其PC运行平台的不足

立足于现有图像处理器通用计算技术对原有像移补偿算法做多线程并行计算的改进。针对图像处理器件的硬件并行架构

优化设置算法多线程访问

提高了各个线程的访问速度。该环节的改进甚至能将算法效率提升到原来的3倍。借助图像处理器的并行运算优势

单帧1 0241 024灰度图像的恢复处理时间只需要8 ms

整个算法的运行速度达到原先的20倍

能够完全满足高分辨率航拍视频图像的像移模糊实时恢复的需求。

Abstract

In order to improve the speed of restoration algorithm

a parallel Wiener filtering method based on Graphic Processing Unit(GPU)platform is presented to restore motion-blurred aerial image degraded in a deterministic way by motion or vibration. The shortages of the original algorithm using Wiener filtering and original PC run-time platform are introduced. On the basis of the new General Purpose GPU (GPGPU) technology

the original algorithm is divided into thousands of single algorithm threads to be computed in parallel. According to the special simultaneous operating mode of GPU hardware

a way in which the algorithm threads access the data on the GPU global memory is specially configured to improve the accessing speed

the algorithm efficiency by the special configuration can even be improved roughly 3 times that by original configuration. With the parallel computing ability of GPU

the new algorithm can restore 1 0241 024 gray image in 8 ms per frame. The experimental result shows the new algorithm based on GPU reaches approximately 20 times that of original algorithm based on CPU of personal PC

which can completely be applied to the real time restoration of high resolution motion-blurred aerial image.

关键词

Keywords

references

贾平,张葆,孙辉. 航空成像像移模糊恢复技术[J]. 光学精密工程,2006,14(4):697-703. JIA P, ZHANG B,SUN H. Restoration of motion-blurred aerial image [J]. Opt. Precision Eng.,2006,14(4) :697-703. (in Chinese)[2] 孙辉,张葆,刘晶红. 基于维纳滤波的运动模糊消除算法及其在航空成像系统中的应用[J]. 光学精密工程,2005,13(6):735-740. SUN H, ZHANG B, LIU J H. Restoration of motion-blurred image based on Wiener filter and its application in aerial imaging system [J].Opt. Precision Eng.,2005,13(6):735-740.(in Chinese)[3] 李仕,孙辉,张葆 . 一种运动模糊图像的实时恢复算法[J]. 光学精密工程,2007,15(5):767-772. LI SH, SUN H, ZHANG B. A method for real-time restoration of motion-blurred images [J].Opt. Precision Eng.,2007,15(5):767-772.(in Chinese)[4] 李仕,张葆,孙辉. 航空光电成像模糊的实时恢复 . 光学精密工程,2007,15(8):1287-1292. LI SH, ZHANG B, SUN H. Real-time restoration using real discrete Fourier transform for aerial E-O imaging system [J].Opt. Precision Eng.,2007,15(8):1287-1292.(in Chinese)[5] MORELAND K, ANGEL E. The FFT on a GPU . In SIGGRAPH/Eurographics Workshop on Graphics Hardware 2003 Proceedings, 2003:112-119. [6] 韩昌元.信息光学基础理论及其应用[M]. 长春:长春出版社,1989. HAN CH Y. Fundamental Theory and Application of Information Optics[M].Changchun: Changchun Press,1989. (in Chinese)[7] PHARR M, FERNANDO R. GPU Gems2[M]. Addison-Wesley Professional, 2005.[8] 邓劲. 图形处理器上的快速傅立叶变换[J]. 现代电子技术,2007(10):151-154. DENG J. FFT on graphics processing unit[J]. Modern Electronic Technique, 2007(10):151-154.(in Chinese)

Views

274

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Real-time restoration for motion blurred in aerial E-O imaging system

Hyperspectral image restoration via weighted Schatten norm low-rank representation

Acquisition and enhancement of remote voice based on laser coherent method

Parallel acceleration of large scale dynamic vision measurement system

Astronomical image restoration basedMaximum-likelihood incorporated parameter estimation

Related Author

SUN Hui

ZHANG Bao

LI Shi

Xiao-zhen XIE

Qian-ying ZHANG

Chun-hui YAN

Tao LÜ

He-yong ZHANG

Related Institution

Graduate School of the Chinese Academy of Sciences

College of Science, Noutheast A & F University, Yangling

Shenzhen Tourism College, Jinan University

University of Chinese Academy of Sciences

Institute of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰