遥感影像条带噪声去除的小波变分法

为了避免条带噪声去除过程中丢失影像细节,提出一种基于小波变分法去除遥感影像条带噪声。首先,对含有条带噪声的遥感影像进行小波分解;其次,通过构建的条带保留变分模型(SPVM)去除低层高频分量(含条带噪声)中的细节信息而保留条带噪声,从而有效分离出低层高频分量(含条带噪声)中的细节信息;通过构建的条带去除变分模型(DVM)去除高层高频分量(含条带噪声)中的条带噪声,从而有效地保留高层高频分量(含条带噪声)中的细节信息;最后,通过小波重构,获得去噪影像。试验证明本文方法在去除条带噪声的同时基本没有丢失影像细节,去噪后的影像对比度及质量都是最优的。

Stripe noise removal of remote image based on wavelet variational method

In order to avoid the loss of image details in the process of strip noise removal, a method based on wavelet variational method was proposed to remove strip noise of remote images. First, remote image with stripe noise was decomposed by wavelet technology. Second, a stripe preserve variation model was constructed, this model could effectively remove image details from the wavelet horizontal direction high-frequency components in lower layers and only preserve the stripe noise, and the details are effectively separated; a destriping variation model was constructed, this model could effectively preserve the image details while removing the strip noise form the wavelet horizontal direction high-frequency components in the top layers. Finally, the destriping image was obtained by wavelet reconstruction. Experimental results show that the proposed method not only can effectively restrain the stripe noise of remote image, and can be also preserve the image details very well. The quality and contrast of destriping image are the best.