一种用于消除红外图像噪声的自适应加权滤波算法

A New Self-adaptive Weighted Filter for Removing Noise in Infrared Images

针对带有高斯噪声和椒盐噪声两种混合噪声的红外图像,提出了一种自适应加权混合去噪算法。该算法首先通过邻域像素的灰度差值来判断像素噪声的类别,然后对高斯噪声采用自适应加权均值滤波法滤除,对椒盐噪声采用自适应加权中值滤波算法滤除。实验表明,该方法优于传统均值滤波算法和中值滤波算法,能同时消除混合噪声,并具有较好的保护图像细节的能力。

Aimed at the infrared images with mixed noise of gauss noise and impulse noise,this paper proposes a new self-adaptive weighted mixed filtering algorithm.The new algorithm first judges the type of the noise according to the difference values of pixel＇s neighborhood region.Then removes the gauss noise by self-adaptive weighted mean filter and removes the impulse noise by self-adaptive weighted median filter.The result of computer simulation on infrared images indicates that the new algorithm is superior to traditional mean filtering algorithm and traditional median filtering algorithm.The new algorithm can not remove mixed noise effective,but also reserve image details.