Single infrared image super‐resolution based on lightweight multi‐path feature fusion network-Reference-Cited by-同舟云学术

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Single infrared image super‐resolution based on lightweight multi‐path feature fusion network

Published:2022-02-24 Issue:7 Volume:16 Page:1880-1896
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Mo Fei¹²^ORCID,Wu Heng¹²,Qu Shuo¹²,Luo Shaojuan³,Cheng Lianglun¹²

Affiliation:

1. Guangdong Provincial Key Laboratory of Cyber‐Physical System School of Automation Guangdong University of Technology Guangzhou China

2. School of Computer Guangdong University of Technology Guangzhou China

3. School of Chemical Engineering and Light Industry Guangdong University of Technology Guangzhou China

Funder

National Natural Science Foundation 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/ipr2.12454

Reference56 articles.

1. A novel method of infrared image denoising and edge enhancement

2. Infrared and visible image fusion and denoising via ℓ2−ℓp norm minimization

3. Bayesian fusion for infrared and visible images

4. A saliency-based multiscale approach for infrared and visible image fusion

5. An edge-guided image interpolation algorithm via directional filtering and data fusion

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