双CMOS成像系统中运动模糊图像的复原

范赐恩; 陈曦; 张立国; 张虎; 邓德祥

doi:10.3788/OPE.20122006.1389

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双CMOS成像系统中运动模糊图像的复原

信息科学 | 更新时间：2020-08-12

- 双CMOS成像系统中运动模糊图像的复原
- Restoration of motion blurred image in dual CMOS imaging system
- 光学精密工程 2012年20卷第6期页码：1389-1397
- 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：
  
  国家自然科学基金资助项目(No.61072135)()
- DOI：10.3788/OPE.20122006.1389
  中图分类号： TP391.4
- 收稿日期：2012-02-08，
  
  修回日期：2012-03-01，
  
  网络出版日期：2012-06-10，
  
  纸质出版日期：2012-06-10
- 稿件说明：
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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

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

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