激光主动探测图像中的散斑自适应滤波抑制方法研究

J4 ›› 2017, Vol. 34 ›› Issue (2): 145-153.

激光主动探测图像中的散斑自适应滤波抑制方法研究

朱曼曼¹,时东锋²,胡顺星³,王英俭⁴

1. 中国科学院安徽光学精密机械研究所
2. 安徽光机所
3. 中科院合肥物质研究院安徽光机所
4. 中国科学院合肥物质科学研究院安徽光学精密机械研究所

收稿日期:2016-02-22 修回日期:2016-04-22 出版日期:2017-03-28 发布日期:2017-04-06
通讯作者: 朱曼曼

Speckle Reduction with Adaptive Filtering Method for Laser Active Detection Image

Received:2016-02-22 Revised:2016-04-22 Published:2017-03-28 Online:2017-04-06

摘要/Abstract

摘要： 激光主动照明成像具有作用距离远、系统分辨率高、可在低照度背景等复杂条件下获取目标图像等优点，但探测图像会受散斑噪声干扰。本文把高斯滤波、均值滤波和自适应滤波方法应用到仿真实验中进行散斑噪声抑制，通过对比实验验证了自适应滤波相较于高斯滤波和均值滤波不仅能抑制图像噪声，还可以有效保留图像的边缘和细节信息。利用自适应滤波方法对获取的单帧和多帧累加平均的激光主动探测图像进行了散斑抑制实验，使用散斑对比度进行了定量分析，结果表明多帧短曝光图像累加平均方法可以有效抑制图像的散斑噪声，采用自适应滤波方法可以进一步降低图像的散斑噪声。

关键词: 大气光学, 激光主动探测成像, 散斑噪声, 自适应滤波, 多帧累加平均, atmospheric optics, laser active detection imaging, speckle noise, adaptive filtering, multiple cumulative average

Abstract: Laser active illumination imaging has the advantages of long range detection, high resolution, obtaining the target image with low illumination background. However, the image is disturbed by speckle noise. In order to reduce the noise, Gaussian filtering, mean filtering and adaptive filtering methods, are applied to the simulation experiment, respectively. The comparison experiment shows that the adaptive filtering not only can effectively inhibit the image noise, but also can keep the details of the image. Multi-short-exposure cumulative average method is applied to the obtained images to reduce speckle noise and Speckle Contrast Ratio is used to quantitative analysis of the results. It is verified that the multi-short-exposure cumulative average method can effectively suppress the speckle noise. At the same time, the adaptive filtering method can further reduce the image speckle noise.

中图分类号:

TN911.73

朱曼曼时东锋胡顺星王英俭. 激光主动探测图像中的散斑自适应滤波抑制方法研究[J]. J4, 2017, 34(2): 145-153.

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