北京理工大学珠海学院 2020 届本科生毕业设计红外加噪图像滤波算法研究摘 要随着科学技术的不断发展，人类不单单只满足于通过触觉、视觉、听觉来去感知信息也希望通过计算机来储存、分析、处理信息。其中，红外成像处理技术作为图像处理中的热点研究话题，被广泛地应用在医学检测、军事通信、地质勘探等重要领域。与可见光相比，红外图像因具有分辨率差、对比度和信噪比低、视觉图像边缘模糊等缺点，对后续的目标检测跟踪造成了不良的影响，有必要针对红外图像进行降噪处理。所以开展了对红外降噪图像滤波算法研究，旨在提高红外成像系统中图像质量。本设计主要研究五种红外图像降噪滤波算法，分别是均值滤波算法、加权平均滤波算法、中值滤波算法、频域滤波算法以及小波算法。通过分析和研究红外加躁图像的特点利用以上降噪算法，对红外加躁图像进行了降噪处理，并将各算法的降噪结果进行了比较分析，找到最优的红外降噪图像滤波算法。关键词：红外加噪图像；图像降噪；滤波；算法北京理工大学珠海学院 2020 届本科生毕业设计The research on Infrared Noise Image Filtering AlgorithmAbstractWith the continuous development of scientific technology, people are no longer satisfied with perceiving information through visual, tactile and auditory senses, they also prefer to store, analysis and processing information through computers. Among them, infrared imaging processing technology, as a hot research topic in image processing, is widely used in important fields such as medical detection, military communications, and geological exploration. Compared with visible light, infrared images have disadvantages such as poor resolution, low contrast and signal-to-noise ratio, and blurred image edges, which have a negative impact on subsequent target detection and tracking. It is essential to denoise the infrared images. Therefore, research on filtering algorithms for infrared noise-enhancing images was carried out in order to improve the image quality in infrared imaging systems. This design mainly studies five kind...
