Restoration of motion blurred image in dual CMOS imaging system

FAN Ci-en; CHEN Xi; ZHANG Li-guo; ZHANG Hu; DENG De-xiang

doi:10.3788/OPE.20122006.1389

您当前的位置：

首页 >

文章列表页 >

Restoration of motion blurred image in dual CMOS imaging system

更新时间：2020-08-12

- Restoration of motion blurred image in dual CMOS imaging system
- Optics and Precision Engineering Vol. 20, Issue 6, Pages: 1389-1397(2012)
- 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. 武汉大学电子信息学院,湖北武汉,中国,430072
  3. 武汉大学微电子与信息技术研究院,湖北武汉,430072
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20122006.1389
  CLC： TP391.4
- Received：08 February 2012，
  
  Revised：01 March 2012，
  
  Published Online：10 June 2012，
  
  Published：10 June 2012
- 稿件说明：
移动端阅览
范赐恩, 陈曦, 张立国, 张虎, 邓德祥. 双CMOS成像系统中运动模糊图像的复原[J]. 光学精密工程, 2012,20(6): 1389-1397

FAN Ci-en, CHEN Xi, ZHANG Li-guo, ZHANG Hu, DENG De-xiang. Restoration of motion blurred image in dual CMOS imaging system[J]. Editorial Office of Optics and Precision Engineering, 2012,20(6): 1389-1397
范赐恩, 陈曦, 张立国, 张虎, 邓德祥. 双CMOS成像系统中运动模糊图像的复原[J]. 光学精密工程, 2012,20(6): 1389-1397 DOI： 10.3788/OPE.20122006.1389.

FAN Ci-en, CHEN Xi, ZHANG Li-guo, ZHANG Hu, DENG De-xiang. Restoration of motion blurred image in dual CMOS imaging system[J]. Editorial Office of Optics and Precision Engineering, 2012,20(6): 1389-1397 DOI： 10.3788/OPE.20122006.1389.

摘要

为获取高空间分辨率的清晰图像

设计了一种双CMOS成像系统。该系统的两片CMOS传感器可同时获取相同场景的图像

其中一片CMOS传感器获取高帧率、低空间分辨率的图像序列;另一片CMOS传感器获取低帧率、高空间分辨率的运动模糊图像。首先

通过光流法计算高帧率、低空间分辨率CMOS传感器获取图像序列的全局运动路径

在能量守恒和能量与积分时间成正比2个约束条件下估计运动模糊核初始值

通过贝叶斯准则交替迭代优化运动模糊核。最后

利用TV-L1方法从低帧率、高空间分辨率CMOS传感器获取的模糊图像中快速、有效地恢复出清晰图像。仿真和实验结果表明:有38%以上的仿真图像复原结果误差率小于2

且受噪声影响小

复原图像的振铃小。另外

能有效去除实拍图像的空间移不变运动模糊。

Abstract

To obtain high spatial resolution images

a imaging system with two CMOSs was designed to acquire the same scene images simultaneously.Among them

one CMOS sensor was used to acquire high frame rate

low spatial resolution image sequences

and the other one to acquire low frame rate

high spatial resolution images.Firstly

the global motion path was obtained by computing the high frame rate

low resolution image sequences acquired by the CMOS sensor using optical flow method. Then

under the constraint conditions of energy conservation and the energy to be proportional to integration interval

the initial motion blur kernel was estimated and motion blur kernel was optimized by using alternating iterative method based on Bayesian criterion. Finally

a sharp image was restored quickly and effectively from the low frame rate

high spatial resolution blur image acquired by the CMOS sensor using TV-L1 algorithm. Simulation and experiment results indicate that more than 38% simulation images show their error ratios to be less than 2

and has little affected by noises.Restored images have smaller ringing artifacts

and the space-invariance motion blurred photographs can be deblurred effectively.

关键词

Keywords

references

JIA J. Single image motion deblurring using transparency . CVPR'07, Minneapolis, MN, United States, 2007:1-8.

LEVIN A. Blind motion deblurring using image statistics [J]. Advances in Neural Information Processing Systems,2007:841-848.

RASKAR R, AGRAWAL A,TUMBLIN J. Coded exposure photography: Motion deblurring using fluttered shutter[J]. SIGGRAPH,2006,25(3):795-804.

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 SH, ZHANG B,SUN H. Parrallel restoration for motion blurred aeiral image[J].Opt. Precision Eng., 2009,17(1):225-230.(in Chinese)

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)

FERGUS R, SINGH B, HERTZMANN A, et al.. Removing camera shake from a single photograph[J]. Acm Transactions on Graphics,2006,25(3):787-794.

SHAN Q, JIA J,AGARWALA A. High-quality motion deblurring from a single image[J]. Acm Transactions on Graphics,2008,27(3):7301-7310.

XU L,JIA J. Two-phase kernel estimation for robust motion deblurring[J]. ECCV,2010:157-170.

RICHARDSON W. Bayesian-based iterative method of image restoration[J]. Journal of the Optical Society of America A,1972,62(1):55-59.

BEN-EZRA M,NAYAR S K. Motion-based motion deblurring[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(6):689-698.

LUCAS B D,KANADE T. An iterative image registration technique with an application to stereo vision[J]. DARPA81,1981:121-130.

WANG Y, YANG J, YIN W, et al.. A new alternating minimization algorithm for total variation image reconstruction[J]. SIAM Journal on Imaging Sciences,2008,1(3):1-24.

YANG J, ZHANG Y,YIN W. An efficient TVL1 algorithm for deblurring multichannel images corrupted by impulsive noise[J]. SIAM J. Sci. Comput.,2009,31(4):2842-2865.

LEVIN A, WEISS Y, DURAND F, et al.. Understanding and evaluating blind deconvolution algorithms . Computer Vision and Pattern Recognition, 2009:1964-1971.

Views

183

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Space-variant Blurred Image Restoration Based on the Segmentation According to Pixel’s Motion-blur Character

Multi-regularization image restoration method for X-ray images of integrated circuit

Restoration of blurred infrared image by adaptive double edge method

End-to-end image dehazing under separated features and collaborative network

Magneto-optical imaging restoration and recognition technology for damaged characters

Related Author

ZHANG Yu-Ye

Xiao-dong Zhou

Chun-xin Wang

MA Ge

LIN Sen

LI Zhifu

ZHAO Zhijia

ZOU Tao

Related Institution

烟台海军航空工程学院控制工程系

School of Mechanical and Electrical Engineering， Guangzhou University

Infrared Detection Technology Research & Development Center of CASC

Shanghai Academy of Spaceflight Technology

School of Physics and Optoelectronic Engineering， Xidian University

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