基于频域滤波的自适应条带噪声去除算法

Adaptively De-striping Algorithm Based on Frequency Filtering

针对在传感器平台等条件下产生的图像条带噪声,在分析了几种常用条带噪声去除方法基础上,提出了一种通过频域滤波方法在图像的傅里叶频域去除条带成分的自适应图像去噪算法。实验结果表明:这种算法可以自适应确定频域中的噪声成分,从而有效地去除图像中的条带噪声,减少传感器噪声等对图像后续处理的影响。

After analyzing some traditional stripe removal algorithms, presented an adaptively de-striping algorithm through Fourier transform. The algorithm was easily implemented and did not take on abundance computation loads. It can mask the stripe frequency components adaptively and need no manual participating to outline the stripe band in frequency domain. The experiment results demonstrate the proposed algorithm can remove the stripes effectively while contain the original image information perfectly.