Seismic data denoising method based on curvelet transformation-combined bilateral filtering
The invention discloses a seismic data denoising method based on curvelet transform-joint bilateral filtering, and belongs to the field of seismic data signal processing, the method comprises the following steps: firstly, carrying out curvelet transform on seismic data containing noise to obtain an...
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Main Authors | , , , , |
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Format | Patent |
Language | Chinese English |
Published |
22.07.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a seismic data denoising method based on curvelet transform-joint bilateral filtering, and belongs to the field of seismic data signal processing, the method comprises the following steps: firstly, carrying out curvelet transform on seismic data containing noise to obtain an original curvelet coefficient; performing scale analysis on the original curvelet coefficient to obtain a coarse scale signal, a middle scale signal and a fine scale signal; performing bilateral filtering processing on the coarse scale signal to obtain a new coarse scale signal; performing joint bilateral filtering processing on the intermediate-scale signal to obtain a new intermediate-scale signal; performing hard threshold processing on the fine-scale signal to obtain a new fine-scale signal; recombining the new coarse-scale signal, the new intermediate-scale signal and the new fine-scale signal to obtain a new curvelet coefficient; and carrying out curvelet inverse transformation on the new curvelet coefficient |
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Bibliography: | Application Number: CN202210477803 |