用小波变换去除红外图像中1/f噪声的方法

A Method of Removing 1/f Noise Based on Wavelet Transform

  • 摘要: 研究红外图像中去除1/f噪声的方法,通过分析1/f噪声的频率和功率谱等特种,比较小波变换和维纳滤波去相关的效果,在图像处理中利用小波变换的去相关作用,合理地选择小波基,使1/f噪声变为易于清除的白噪声,从而达到去除1/f噪声的目标,实验结果表明,小波变换对去除1/f噪声有良好的效果,目标信噪比也有很大的提高,有助于后读的目标检测。

     

    Abstract: The method that removes the 1/ f noise in the IR image is studied. The feature of frequency and power spectral density of 1/ f noise is analyzed and the effect of wavelet transform is compared with Wiener filter. Because one of characteristics of wavelet transform is that it can remove the correlation of noise, wavelet transform is utilized to makes 1/ f noise become white noise that can be removed by selecting a reasonable wavelet base. The experimental result shows it is effective to remove 1/ f noise by applying wavelet transform and the S/N is enhanced, which is helpful to the target detection.

     

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