夏峰,卢才武,顾清华

• 1:西安建筑科技大学

摘要(Abstract)：

针对传统图像降噪方法难以适用于露天矿无人机(UAV)图像降噪的问题,该文提出了一种基于经验小波变换(EWT)算法思想的露天矿UAV图像快速降噪方法。采用Littlewood-Paley小波算子检测提取UAV图像噪声特征,以提高阈值函数匹配精度;借助改进的自适应H阈值函数对UAV图像噪声进行计算,提高UAV图像边缘细节度;并通过二维经验小波变换逆重构,从而提高UAV图像纹理精度。实验结果表明,本文算法能够实现露天矿UAV图像的快速降噪,保留边缘细节和纹理特征,并具有较好的降噪效果。

关键词(KeyWords)： 二维经验小波变换;无人机;图像降噪;自适应阈值

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目（51774228）;国家自然科学青年基金项目（51404182）;; 陕西省自然科学基金项目（2017JM7005）;; 国家安监局安全生产重大事故防治关键技术科技项目（2017G-B1-0519）

作者(Author): 夏峰,卢才武,顾清华

DOI: 10.16251/j.cnki.1009-2307.2021.01.014

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