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基于小波变换和中值滤波的无人机图像去噪算法

陈晓 徐家品

火力与指挥控制2011,Vol.8Issue(8):178-179,183,3.
火力与指挥控制2011,Vol.8Issue(8):178-179,183,3.

基于小波变换和中值滤波的无人机图像去噪算法

A Denoising Algorithm of Image for UAV Based on Wavelet Transform and Mean-value Filtering

陈晓 1徐家品1

作者信息

  • 1. 四川大学电子信息学院,成都610064
  • 折叠

摘要

Abstract

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.

关键词

图像去噪/小波变换/阈值函数/无人机

Key words

image denoising,wavelet transform,threshold function,UAV

分类

信息技术与安全科学

引用本文复制引用

陈晓,徐家品..基于小波变换和中值滤波的无人机图像去噪算法[J].火力与指挥控制,2011,8(8):178-179,183,3.

火力与指挥控制

OA北大核心CSCDCSTPCD

1002-0640

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