Constrained and unconstrained deep image prior optimization models with automatic regularization
Author:
Funder
Regione Emilia-Romagna
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Control and Optimization
Link
https://link.springer.com/content/pdf/10.1007/s10589-022-00392-w.pdf
Reference43 articles.
1. Arridge, S., Maass, P., Öktem, O., Schönlieb, C.B.: Solving inverse problems using data-driven models. Acta Numer. 28, 1–174 (2019)
2. Baguer, D.O., Leuschner, J., Schmidt, M.: Computed tomography reconstruction using Deep Image Prior and learned reconstruction methods. Inverse Prob. 36(9), 094004 (2020). https://doi.org/10.1088/1361-6420/aba415
3. Bertero, M., Boccacci, P.: Introduction to inverse problems in imaging. CRC press (1998)
4. Bevilacqua, M., Roumy, A., Guillemot, C., line Alberi Morel, M.: Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding. In: Proceedings of the British Machine Vision Conference, pp. 135.1–135.10. BMVA Press (2012). https://doi.org/10.5244/C.26.135
5. Bortolotti, V., Brown, R., Fantazzini, P., Landi, G., Zama, F.: Uniform Penalty inversion of two-dimensional NMR relaxation data. Inverse Prob. 33(1), 015003 (2016)
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