Learning mean curvature-based regularization to solve the inverse variational problems from noisy data
Author:
Funder
Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02544-9.pdf
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4. Li, F., Zeng, T.: A universal variational framework for sparsity-based image inpainting. IEEE Trans. Image Process. 23, 4242–4254 (2014)
5. Dobrosotskaya, J.A., Bertozzi, A.: A wavelet-laplace variational technique for image deconvolution and inpainting. IEEE Trans. Image Process. 17, 657–663 (2008)
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