视频监控图像的运动模糊方向估计

吴海滨; 刘超; 于晓洋; 孙晓明; 胡丽娟

doi:null

您当前的位置：

首页 >

文章列表页 >

视频监控图像的运动模糊方向估计

成像技术与图像处理 | 更新时间：2020-08-12

- 视频监控图像的运动模糊方向估计
- Motion blurred direction estimation for video monitor image
- 液晶与显示 2014年29卷第4期页码：580-585
- 作者机构：
  
  哈尔滨理工大学测控技术与仪器黑龙江省高校重点实验室, 黑龙江哈尔滨 150080
- 作者简介：
- 基金信息：
  
  哈尔滨市科技创新人才研究专项资金（No.2013RFQXJ090）();黑龙江省博士后科研启动项目（No.LBH-Q12069）();哈尔滨理工大学青年拔尖创新人才培养
- DOI：
  中图分类号： TP391.1
- 收稿日期：2014-03-15，
  
  修回日期：2014-04-15，
  
  网络出版日期：2014-04-30，
  
  纸质出版日期：2014-08-05
- 稿件说明：
移动端阅览
吴海滨, 刘超, 于晓洋, 孙晓明, 胡丽娟. 视频监控图像的运动模糊方向估计[J]. 液晶与显示, 2014,29(4): 580-585

WU Hai-bin, LIU Chao, YU Xiao-yang, SUN Xiao-ming, HU Li-juan. Motion blurred direction estimation for video monitor image[J]. , 2014,29(4): 580-585
吴海滨, 刘超, 于晓洋, 孙晓明, 胡丽娟. 视频监控图像的运动模糊方向估计[J]. 液晶与显示, 2014,29(4): 580-585 DOI：

WU Hai-bin, LIU Chao, YU Xiao-yang, SUN Xiao-ming, HU Li-juan. Motion blurred direction estimation for video monitor image[J]. , 2014,29(4): 580-585 DOI：

摘要

模糊图像复原是安防监控领域的一项重要技术，为提高模糊方向的估计准确度从而提高复原清晰度，对模糊图像的频谱分析、方向提取以及干扰抑制等方法进行研究。通过频谱图细化分块消除由边缘截断效应导致的十字亮线干扰。通过Radon变换归一化降低该算法固有的对角线干扰。最后，修正频谱图中条纹倾斜角度与模糊方向的偏差，以提高任意高宽比图像模糊方向的估计准确度。实验结果表明，避免了模糊方向估计曲线在0、90、45（135）方向出现干扰峰值，在非对角线方向能较准确地估计模糊方向，误差约4~6。能有效抑制十字亮线干扰和对角线干扰，且适用于任意高宽比图像。

Abstract

Motion target detection plays an important role in object tracking and traffic monitoring fields. For improving the estimation accuracy of motion direction

and thereby increasing restoration resolution

some research of blurred image spectrum analysis

blurred direction detection and interfe rence suppression were conducted. The interference of bright cross in the spectrum caused by edge truncation effect was eliminated through partitioning spectrum image. The diagonal interference was reduced by normalized Radon transform. For improving estimation accuracy of blurred direction of any ration image

the factor aspect ratio was used to modify the relation between tilt angle of the dark stripe and motion direction angle. The experiment demonstrates that this algorithm can well avoid interference peak appeared in 0

45(135) direction of blurred direction estimation curve

and well estimate blurred direction in non-diagonal with about 4~6 error. Overall

this algorithm can suppress the interferences of bright cross and diagonal effectively

and applies to any aspect ratio.

关键词

Keywords

references

Yitzhaky Y, Kopeika N S. Identification of blur parameters from motion blurred images [J]. Graphical Models and Image Processing, 1997, 59(5): 310-320.[2] 陈前荣,陆启生,成礼智. 运动模糊图像的运动模糊方向鉴别[J]. 国防科技大学学报,2004(1):41-45. Chen Q R, Lu Q S, Chen L Z. Identification of the motion blurred direction of motion blurred images [J]. Journal of National University of Defense Technology, 2004(1): 41-45. (in Chinese)[3] 谢伟,秦前清. 基于倒频谱的运动模糊图像 PSF 参数估计[J]. 武汉大学学报,2008,33(2):128-131. Xie W, Qin Q Q. Estimating blur parameters of point spread function of motion-blurred image based on Cepstrum [J]. Geomatics and Information Science of Wuhan University, 2008, 33(2): 128-131. (in Chinese)[4] 石明珠,许廷发,张坤. 运动成像混合模糊的全变分图像复原[J]. 光学精密工程,2011,19(8):1973-1981. Shi M Z, Xu Y F, Zhang K. Total variation image restoration for mixed blur in moving image [J]. Opt. Precision Eng., 2011, 19(8): 1973-1981. (in Chinese)[5] Moghaddam M E, Jamzad M. Finding point spread function of motion blur using Radon transform and modeling the motion length. IEEE 4th International Symposium on Signal Processing and Information Technology, 2004: 314-317.[6] 孙辉. 相位相关技术实现离焦模糊图像运动估计[J]. 液晶与显示, 2012, 27(2):223-228. Sun H. Estimation of displacement for out-of-focus blurred image using phase-only correlation [J]. Chinese Journal of Liquid Crystals and Displays, 2012, 27(2): 223-228. (in Chinese)[7] 乐翔,程建,李民. 一种改进的基于Radon变换的运动模糊图像参数估计方法[J]. 红外与激光工程, 2011, 40(5): 963-969. Le X, Cheng J, Li M. Improved approach to motion blur identification based on Radon transform [J]. Infrared and Laser Engineering, 2011, 40(5): 963-969. (in Chinese)[8] Sun H W, Desvignes M, Yan Y H, et al. Motion blur parameters identification from Radon transform image gradients. 35th Annual Conference of the IEEE Industrial Electronics Society, 2009: 2098-2103.[9] 李宇成,贾宝华,杨光明. 运动模糊图像的参数估计与恢复[J]. 计算机工程与设计, 2010, 31(19):4247-4249. Li Y C, Jia B H, Yang G M. Blur parameter identification and restoration of motion blurred image [J]. Computer Engineering and Design, 2010, 31(19): 4247-4249. (in Chinese)[10] Phansalkar N. Determination of linear motion point spread function using Hough transform for image restoration. Computational Intelligence and Computing Research, Communication, Networking & Broadcasting, 2010: 1-4.[11] 朱明,杨航,贺柏根,等. 联合梯度预测与导引滤波的图像运动模糊复原[J]. 中国光学, 2013, 6(6):850-854. Zhu M, Yang H, He B G, et al. Image motion blurring restoration of joint gradient prediction and guided filter [J]. Chinese Optics, 2010, 31(19): 4247-4249. (in Chinese)[12] Javad M, Rohollah A, Haghighat M K. Vehicle speed estimation based on the image motion blur using Radon transform. 2nd International Conferences on Analysis and Signal Processing System, 2010: 243-247.[13] 刘翔,周桢. 基于分块背景建模的运动目标检测技术[J]. 液晶与显示, 2011, 26(6):831-835. Liu X, Zhou Z. Moving objectives detection technology based on block processing of background model establishment [J]. Chinese Journal of Liquid Crystals and Displays, 2011, 26(6): 831-835. (in Chinese)

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于深度残差生成对抗网络的运动图像去模糊

基于人因的液晶显示动态图像质量研究

基于图像质量评价的LCD运动模糊检测方法

基于ARM和FPGA的视频监控系统设计

基于极点聚焦全极点滤波器减小LCD运动模糊的方法