【摘要】 结合地震图像噪声的特点,利用多尺度小波变换的优点,提出一种新的自适应小波阈值去噪算法。该算法根据小波变换各子层系数矩阵,确定各子层的自适应最优阈值,对于高频子带采用硬阈值化去噪,低频子带采用中值阈值化去噪,并去噪后重构小波系数。实验结果表明,该方法能够去除大部分高频随机噪声,并还原相干切片图像真实效果,提高了地震资料的信噪比。更多还原

【Abstract】 Combined with the characteristics of seismic image noise,using multi-scale wavelet transform,a new adaptive wavelet threshold denoising algorithm is presented.This algorithm based on wavelet transform each layer,the coefficient matrix of the layer of adaptive optimal threshold,for high frequency sub-band adopts hard threshold denoising,low-frequency subband using threshold value denoising,after denoising and reconstruct wavelet coefficients.Experimental results show that this method can remove most random noise,and reductive real effect for coherent slices image,improve the signal-to-noise ratio.更多还原