Sparse Regularization Based on Orthogonal Tensor Dictionary Learning for Inverse Problems

Figure 10

(a) Original seismic data. (b) Noisy data with SNR = 5.39. The result of random noise attenuation of synthetic seismic data by (c) K-SVD (SNR = 22.27 dB), (d) orthogonal DL (SNR = 23.51 dB), and (e) the proposed method (SNR = 24.36 dB).

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(e)