Super resolution reconstruction based on block matching and three‐dimensional filtering with sharpening-Reference-Cited by-同舟云学术

Super resolution reconstruction based on block matching and three‐dimensional filtering with sharpening

Published:2015-12 Issue:12 Volume:9 Page:1048-1056
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Kim Yookyung¹,Oh Han²,Bilgin Ali³⁴⁵

Affiliation:

1. Broadcasting & Telecommunications Media Research LaboratoryElectronics and Telecommunications Research Institute (ETRI)218 Gajeong‐ro, Yuseong‐guDaejeon305‐700South Korea

2. Satellite Information Center, Korea Aerospace Research Institute (KARI)169‐84 Gwahak‐ro, Yuseong‐guDaejeon305‐806South Korea

3. Department of Biomedical EngineeringUniversity of Arizona1657 E. Helen StreetTucsonAZ85721USA

4. Department of Electrical and Computer EngineeringUniversity of Arizona1657 E. Helen StreetTucsonAZ85721USA

5. The BIO5 Institute, University of Arizona1657 E. Helen StreetTucsonAZ85721USA

Funder

Institute for Information and Communications Technology Promotion

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.2014.0566

Reference36 articles.

1. Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images

2. Super-resolution image reconstruction: a technical overview

3. Generalizing the Nonlocal-Means to Super-Resolution Reconstruction

4. Cubic splines for image interpolation and digital filtering

5. Nonlocal pixel selection for multisurface fitting‐based super‐resolution;Zhou F.;IEEE Trans. Circuits Syst. Video Technol.,2014

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