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
language:
Short-container-title:

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

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lightweight Prompt Learning Implicit Degradation Estimation Network for Blind Super Resolution;IEEE Transactions on Image Processing;2024

2. LBKENet:Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution;Image Analysis and Processing – ICIAP 2023;2023

3. Real Image Super-Resolution using GAN through modeling of LR and HR process;2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS);2022-11-29

4. Efficient Binarization of Ancient Handwritten Vattezhuthu Documents;2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT);2022-11-11

5. Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution;Computer Vision – ECCV 2020 Workshops;2020