1887

Abstract

Summary

Most existing denoising algorithms will become less effective when applied to non-stationary complex noise. In this paper, we propose to use a trilateral weighted sparse coding scheme within the block matching framework for complex noise attenuation. Two weight matrices are introduced into the data-fidelity term of the sparse coding model to characterize the complex noise property, and another weight matrix is introduced into the regularization term to characterize the sparsity priors of signals. Finally, the optimization problem of the proposed sparse coding scheme is solved by the alternating direction method of multipliers. Experimental results demonstrate that the proposed algorithm achieves much better performance than state-of-the-art denoising methods.

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/content/papers/10.3997/2214-4609.201900840
2019-06-03
2024-03-29
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References

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