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环境下获取 目标图像等优点,但探测图像会受散斑噪声干扰。把高斯滤波、均值滤波和自适应滤波方法分别 应用到仿真实验中进行散斑噪声抑制,实验表明:与高斯滤波和均值滤波相比,自适应滤波能有 效抑制图像噪声,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散斑抑制实验,使用散斑对比度进行定量分析,结果表明多帧短曝光 图像累加平均可有效抑制图像的散斑噪声,自适应滤波可进一步降低图像的散斑噪声。

Laser active illumination imaging has the advantages of long range, high resolution, obtaining the target image in complex environment such as low illumination background. However, the image is disturbed by speckle noise. Gaussian filtering, mean filtering and adaptive filtering methods are applied to the simulation experiment respectively for speckle noise suppression. Experiments show that compared with Gauss filtering and mean filtering, the adaptive filtering can effectively suppress image noise and keep edge and detail information of the image. Speckle suppression experiment for the obtained single frame and multi-frame cumulative average laser active detection image is carried out by using the adaptive filtering method. Quantitative analysis is carried out with speckle contrast ratio. Results show that the cumulative mean of multi-frame short exposure images can effectively suppress the image speckle noise. Adaptive filtering can further reduce the image speckle noise.