基于小波变换和中值滤波的无人机图像去噪算法

摘要

The unmanned aerial image in real-time transmission process, there may be mixed by both impulsive and Gaussian noise pollution, for the subsequent identification of the image caused great difficulties. In response, this paper based on median filter and wavelet transform for image denoising. Simulation results show that the method can effectively filter and Gaussian mixture impulsive noise, and can keep a good image detail, to improve the image of the visual effects.%在无人机航拍图像的实时传输过程中,有可能会同时受到脉冲和高斯混合噪声的污染,为后续图像的识别造成很大的困难.针对这种情况,提出了一种基于中值滤波和小波变换相结合的图像去噪方法.仿真结果表明,该方法不仅能有效地滤除脉冲和高斯的混合噪声,而且可以很好地保留图像的细节信息,改善图像的视觉效果.