A Capture to Registration Framework for Realistic Image Super-Resolution in the Industry Environment-Reference-Cited by-同舟云学术

A Capture to Registration Framework for Realistic Image Super-Resolution in the Industry Environment

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Wang Boyang¹^ORCID,Wang Yan¹^ORCID,Zhao Qing¹^ORCID,Lin Junxiong¹^ORCID,Tao Zeng¹^ORCID,Guo Pinxue¹^ORCID,Chen Zhaoyu¹^ORCID,Jiang Kaixun¹^ORCID,Yan Shaoqi¹^ORCID,Gao Shuyong¹^ORCID,Zhang Wenqiang¹^ORCID

Affiliation:

1. Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Scientific and Technological innovation action plan of Shanghai Science and Technology Committee

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611973

Reference62 articles.

1. Sefi Bell-Kligler , Assaf Shocher , and Michal Irani . 2019 . Blind super-resolution kernel estimation using an internal-gan . Advances in Neural Information Processing Systems , Vol. 32 (2019). Sefi Bell-Kligler, Assaf Shocher, and Michal Irani. 2019. Blind super-resolution kernel estimation using an internal-gan. Advances in Neural Information Processing Systems, Vol. 32 (2019).

2. Marco Bevilacqua Aline Roumy Christine Guillemot and Marie Line Alberi-Morel. 2012. Low-complexity single-image super-resolution based on nonnegative neighbor embedding. (2012). Marco Bevilacqua Aline Roumy Christine Guillemot and Marie Line Alberi-Morel. 2012. Low-complexity single-image super-resolution based on nonnegative neighbor embedding. (2012).

3. Principal warps: thin-plate splines and the decomposition of deformations

4. Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model

5. Camera Lens Super-Resolution