激光成像跟踪系统中的图像噪声抑制技术

J4 ›› 2011, Vol. 28 ›› Issue (1): 25-30.

激光成像跟踪系统中的图像噪声抑制技术

董吉辉^1,2,胡企铨²,孙东松³

1 中国科学院安徽光学精密机械研究所, 安徽合肥 230031；
2 中国科学院上海光学精密机械研究所，上海 201800；
3 中国科学技术大学，安徽合肥 230026

收稿日期:2010-04-26 修回日期:2010-05-06 出版日期:2011-01-28 发布日期:2011-01-14
通讯作者: 董吉辉 (1974), 博士，主要从事光电探测，光电跟踪，图像处理等方面的研究。 E-mail:dongjh@aifom.ac.cn

Techniques of depressing image noise in laser imaging tracking system

DONG Ji-Hui^1,2, HU Qi-Quan², SUN Dong-Song³

1 Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China;
2 Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China;
3 University of Sciences and Technology of China, Hefei 230031, China

Received:2010-04-26 Revised:2010-05-06 Published:2011-01-28 Online:2011-01-14

摘要/Abstract

摘要：

激光成像跟踪系统是实现空间远距离暗目标跟踪的一种极具潜力的手段，而目标在激光照射下的图像将受到激光散斑的调制作用，影响目标的识别及目标的定向精度。对激光照射下目标图像的统计特性进行了理论分析，然后提出了一种对原始图像依次实施灰度线性变换、中值滤波和Lee滤波的组合数值滤波器对图像噪声进行抑制。处理的结果表明，采用上述组合方法，图像的噪声指数可从0.67降至0.22，同时边缘保持度可达0.96，为后续的图像处理提供了必要的基础。

关键词: 图像处理, 噪声抑制, 组合数值滤波器, 激光散斑

Abstract:

Laser imaging tracking system is a potential way of tracking dark target in distance especially in space, but target image under the illumination of laser is modulated by the laser speckle and it will affect the identification and orient precision of target. Firstly, analysis of the statistical characteristic of laser imaging is given, and then, a combined method depressing the image noise that utilize gray level linear transformation, median filtering and Lee filtering acting on the original image in turn is provided. The results indicate that the noise coefficient is down to 0.22 from 0.67, and edge-preserving degree is up to 0.96, respectively, and it makes a necessary basis for the following image processing.

Key words: image processing, noise depression, combined numerical filter, laser speckle

中图分类号:

TN958.98

董吉辉胡企铨孙东松. 激光成像跟踪系统中的图像噪声抑制技术[J]. J4, 2011, 28(1): 25-30.

DONG Ji-Hui, HU Qi-Quan, SUN Dong-Song. Techniques of depressing image noise in laser imaging tracking system[J]. J4, 2011, 28(1): 25-30.

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