Novel image restoration method based on multi‐frame super‐resolution for atmospherically distorted images-Reference-Cited by-同舟云学术

Novel image restoration method based on multi‐frame super‐resolution for atmospherically distorted images

Published:2020-01 Issue:1 Volume:14 Page:168-175
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Li Yinhao¹^ORCID,Ogawa Katsuhisa²,Iwamoto Yutaro¹,Chen Yen‐Wei¹³⁴

Affiliation:

1. Graduate School of Information Science and Engineering, Ritsumeikan UniversityKusatsuJapan

2. Device Technology Development HeadquartersCanon Inc.KanagawaJapan

3. Zhejiang LabHangzhouPeople's Republic of China

4. College of Computer Science and Technology, Zhejiang UniversityHangzhouPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.0319

Reference22 articles.

1. Multiframe image restoration and registration;Tsai R.;Adv. Comput. Vis. Image Process.,1984

2. Fast and Robust Multiframe Super Resolution

3. Removing Atmospheric Turbulence via Space-Invariant Deconvolution

4. Automated video enhancement from a stream of atmospherically‐distorted images: the lucky‐region fusion approach;Aubailly M.;Int. Soc. Optics Photonics,2009

5. 2008 IEEE Conf. on Computer Vision and Pattern Recognition Anchorage USA M. Shimizu S. Yoshimura M. Tanaka Super‐resolution from image sequence under influence of hot‐air optical turbulence 1 8

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