Modeling Thermal Infrared Image Degradation and Real-World Super-Resolution Under Background Thermal Noise and Streak Interference-Reference-Cited by-同舟云学术

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Modeling Thermal Infrared Image Degradation and Real-World Super-Resolution Under Background Thermal Noise and Streak Interference

Published:2024-07 Issue:7 Volume:34 Page:6194-6206
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Chen Xiaohui¹^ORCID,Chen Lin²^ORCID,Chen Lingjun³,Chen Peng¹,Sheng Guanqun¹,Yu Xiaosheng¹,Zou Yaobin¹^ORCID

Affiliation:

1. Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China

2. College of Computer and Information Technology, China Three Gorges University, Yichang, China

3. Yichang Power Supply Company, State Grid Hubei Electric Power Co., Ltd., Yichang, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10582818/10379652.pdf?arnumber=10379652

Reference64 articles.

1. Super-resolution from a single image

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

3. Learning Super-Resolution Jointly From External and Internal Examples

4. Super resolution reconstruction of infrared images based on classified dictionary learning

5. RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Lightweight Network With Latent Representations for UAV Thermal Image Super-Resolution;IEEE Transactions on Geoscience and Remote Sensing;2024

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