Abstract
Nonsubsampled contourlet transform (NSCT) is a novel image processing algorithm. According to the properties of the NSCT and the principle of threshold denoising, we propose the threshold denoising method based on the NSCT, and try to use it in seismic data. Firstly, seismic signal was decomposed by the NSCT to obtain the coefficients of different scales and directions. Then the coefficients were processed by using the threshold denoising method to obtain the modified coefficients. Finally, the modified coefficients were transformed back into the original domain to get the denoised seismic signal. In this paper, we use the NSCT to get a recovery of common shot records with 40 channels which are submerged under the random noise. Experimental results show that the recovery common shot records can clearly show the position of original seismic events, and this method can effectively reduce the random noise in the seismic data.
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Song, P., Li, Y., Ma, H., Sun, H., He, X. (2012). Attenuation of Random Noise for Seismic Data Based on Nonsubsampled Contourlet Transform. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_16
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DOI: https://doi.org/10.1007/978-3-642-25792-6_16
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