运动模糊图像点扩散函数的频谱估计法

贤光; 颜昌翔; 张新洁

doi:10.3788/YJYXS20142905.0751

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运动模糊图像点扩散函数的频谱估计法

成像技术与图像处理 | 更新时间：2020-08-12

- 运动模糊图像点扩散函数的频谱估计法
- Motion-blurred image point spread function estimation method based on spectral analysis
- 液晶与显示 2014年29卷第5期页码：751-755
- 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. 中国科学院大学北京,中国,100049
- 作者简介：
- 基金信息：
  
  国家863高新技术发展资助（No.2011AA12A103）();中国地质调查局工作项目（No.1212011120227）()
- DOI：10.3788/YJYXS20142905.0751
  中图分类号： TH741;TP391.4
- 收稿日期：2013-12-23，
  
  修回日期：2014-01-20，
  
  纸质出版日期：2014-10-05
- 稿件说明：
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贤光, 颜昌翔, 张新洁. 运动模糊图像点扩散函数的频谱估计法[J]. 液晶与显示, 2014,29(5): 751-755

XIAN Guang, YAN Chang-xiang, ZHANG Xin-jie. Motion-blurred image point spread function estimation method based on spectral analysis[J]. , 2014,29(5): 751-755
贤光, 颜昌翔, 张新洁. 运动模糊图像点扩散函数的频谱估计法[J]. 液晶与显示, 2014,29(5): 751-755 DOI： 10.3788/YJYXS20142905.0751.

XIAN Guang, YAN Chang-xiang, ZHANG Xin-jie. Motion-blurred image point spread function estimation method based on spectral analysis[J]. , 2014,29(5): 751-755 DOI： 10.3788/YJYXS20142905.0751.

摘要

在深入研究无噪声情况下的匀速直线运动模糊图像的点扩散函数特性，提出一种基于频域的识别运动模糊图像模糊方向和模糊长度的算法。分析了对模糊图像频谱图出现平行暗条纹的原因，从理论和实验说明暗条纹的方向与模糊方向垂直的特性，并采用RADON变换法检测这些暗条纹，给出精确的数值估算方法。采用SOBEL算子对模糊图像进行一阶微分运算，求其自相关鉴别曲线，并估算出其模糊长度。仿真分析结果表明，该算法可以准确地识别图像运动模糊参数，其模糊角度绝对误差不超过2，模糊长度绝对误差不超过1个像素。

Abstract

This paper studied the characteristics of uniform linear motion blurred image of the point spread function in noiseless case

and proposed an algorithm which identify the direction of motion-blurred image blur and blur length in frequency domain. Firstly

the causes of parallel dark stripes appeared in blurred image spectrogram were analyzed

and the characteristics of the direction of dark stripes perpendicular to fuzzy orientation were explained both in the theoretical and experimental methods. Then the RADON transform method was used to detect these dark stripes

for giving precise numerical estimation method. The SOBEL operator was used as first-order differential operators to the fuzzy image

to seek its autocorrelation curve

and estimates its blur length. The simulation analysis shows that the algorithm can accurately identify the image motion blur parameters

the absolute error of angle and length does not exceed 2 and 1 pixel

respectively.

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references

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