Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations-Reference-Cited by-同舟云学术

Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations

Published:2019-09-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Conference on Distributed Smart Cameras
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Author:

Umer Rao Muhammad¹,Foresti Gian Luca¹,Micheloni Christian¹

Affiliation:

1. University of Udine, Udine, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3349801.3349823

Reference36 articles.

1. Contour Detection and Hierarchical Image Segmentation

2. Siavash Arjomand Bigdeli Matthias Zwicker Paolo Favaro and Meiguang Jin. 2017. Deep mean-shift priors for image restoration. In Advances in Neural Information Processing Systems. 763--772. Siavash Arjomand Bigdeli Matthias Zwicker Paolo Favaro and Meiguang Jin. 2017. Deep mean-shift priors for image restoration. In Advances in Neural Information Processing Systems. 763--772.

3. Modeling the Performance of Image Restoration From Motion Blur

4. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

5. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

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