Brief Survey of Single Image Super-Resolution Reconstruction Based on Deep Learning Approaches-Reference-Cited by-同舟云学术

Brief Survey of Single Image Super-Resolution Reconstruction Based on Deep Learning Approaches

Published:2020-04-09 Issue:1 Volume:21 Page:
ISSN:1557-2064
Container-title:Sensing and Imaging
language:en
Short-container-title:Sens Imaging

Author:

Wang Wei^ORCID,Hu Yihui,Luo Yanhong,Zhang Tong

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

Scientific Research Foundation of Hunan Provincial Education Department

Hunan Provincial Science and Technology Department

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://link.springer.com/content/pdf/10.1007/s11220-020-00285-4.pdf

Reference46 articles.

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3. Sun, J., Xu, Z., & Shum, H. Y. (2008). Image super-resolution using gradient profile prior. In 2008 IEEE conference on computer vision and pattern recognition (pp. 1–8). IEEE.

4. Kim, K. I., & Kwon, Y. (2010). Single-image super-resolution using sparse regression and natural image prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(6), 1127–1133.

5. Glasner, D., Bagon, S., & Irani, M. (2009). Super-resolution from a single image. In 2009 IEEE 12th international conference on computer vision (pp. 349–356). IEEE.

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