Sparse Regularization Based on Orthogonal Tensor Dictionary Learning for Inverse Problems

Figure 6

(a) Original seismic data with strong noise. (b) Real seismic data with strong noise and 50% missing trace. Simultaneous denoising and interpolation of seismic data by using (c) K-SVD method, (d) orthogonal DL algorithm, and (e) the proposed method.

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