Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
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。
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。
An adaptive threshold which is a low frequency passed image based on wavelet multiresolution filters is proposed for binarization, and the result is satisfactory.
提出通过小波多分辨力滤波将滤波以后的低通图像作为图像的自适应阈值进行二值化，获得了比较理想的效果。
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