基于像素同龄组的航拍图像去噪方法

Aerial Image Denoising Method Based on Pixel Peer Groups

由于受到光照、机身震动等拍摄环境的影响,航拍图像中常常混有高斯噪声和脉冲噪声。针对这一现象,提出一种结合改进的中值滤波和维纳滤波的像素同龄组去噪算法。首先将图像根据像素值的不同,分为若干像素同龄组;然后根据每个同龄组的特点,有针对性地进行中值滤波或维纳滤波;最后,借助航拍绝缘子图像,完成仿真实验,并与单独中值滤波、维纳滤波的去噪效果进行对比。实验结果表明,该方法在处理混有高斯噪声和脉冲噪声的航拍图像方面,具有良好的去噪效果。

Due to the impact of shooting environment, such as light and fuselage vibration, aerial image is often mixed with Gauss noise and impulse noise. Aiming at this characteristics, a new image denoising method based on the pixel peer groups is proposed, which combining the improved median filtering and Wiener filtering. Firstly, the image is divided into a number of pixel peer groups. Then, according to the characteristics of each pixel peer groups, the median filtering or Wiener filtering to filter the image noise was selected. Finally, the simulation experiment is carried out by the use of aerial insulator image. And the experimental results of this paper are compared with the denoising effect of the use of the median filter and the use of Wiener filtering along. The experimental results show that the method in dealing with aerial image noise, which mixed with Gaussian noise and impulse noise, has a good denoising effect.