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Research and Application on Seismic Image Enhancement Based on Wavelet Transformation

机译:基于小波变换的地震图像增强研究与应用

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In this paper, digital image enhancement method is studied and the theory of choosing hard-threshold and soft-threshold in wavelet transform is analyzed, and according to the trait of seismic data, the wavelet threshold is improved. Through the verification of the seismic images in Daqing oil field the new threshold function can effectively remove Gaussian white noise and impulse noise, and the image enhancement effect is remarkable.
机译:本文研究了数字图像增强方法,分析了小波变换中硬阈值和软阈值的选择原理,并根据地震数据的特点,提高了小波阈值。通过对大庆油田地震图像的验证,新的阈值函数可以有效去除高斯白噪声和脉冲噪声,图像增强效果显着。

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