Abstract: Improving the security of driverless cars, enriching the applicable environment of unmanned driving and further the degree of automatic driving system are important research contents in this article. This paper starts from the selection of vehicle infrared imaging auxiliary equipment that act better performance among different wavelengths, and based on its availability in the complex environment, gives the conclusion that short wave infrared imaging equipment performed best. Meanwhile, aiming to improve the infrared image quality, this paper has completed some trail tests to optimize the quality of a certain picture, which are based on some image enhancement algorithms by MATLAB.

Key words: Driverless; Infrared image; Image enhancement; Denoising

摘要： 在无人驾驶领域中，提升无人驾驶安全性、丰富无人驾驶适用环境是提高无人驾驶系统的 自动化程度的重要研究内容。文章首先分析了对于适用不同红外波段的车载红外成像辅助设备的 选择问题，基于其面对复杂环境的可用性为选择依据，得出了短波红外成像设备优良性能的结论。 同时针对现有红外图像成像质量的问题，基于 Matlab 应用相关图像的增强算法进行图像处理，在 图像清晰度方面，采用了拉普拉斯算子、中值滤波等处理方法解决相应问题并获得了改良后的图 像，实现对相机输出图像的增强。

关键词: 无人驾驶；红外图像；图像增强；去噪