Motion blurred direction estimation for video monitor image

WU Hai-bin; LIU Chao; YU Xiao-yang; SUN Xiao-ming; HU Li-juan

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Motion blurred direction estimation for video monitor image

更新时间：2020-08-12

- Motion blurred direction estimation for video monitor image
- Chinese Journal of Liquid Crystals and Displays Vol. 29, Issue 4, Pages: 580-585(2014)
- 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：
- DOI：
  CLC： TP391.1
- Received：15 March 2014，
  
  Revised：15 April 2014，
  
  Published Online：30 April 2014，
  
  Published：05 August 2014
- 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

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