Thermal Infrared Single Image Dehazing and Blind Image Quality Assessment-Reference-Cited by-同舟云学术

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Thermal Infrared Single Image Dehazing and Blind Image Quality Assessment

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Erlenbusch Fabian¹,Merkt Constanze¹,de Oliveira Bernardo¹,Gatter Alexander²,Schwenker Friedhelm³,Klauck Ulrich⁴,Teutsch Michael¹

Affiliation:

1. Hensoldt Optronics GmbH,Germany

2. Rheinmetall Electronics GmbH,Germany

3. Ulm University,Germany

4. Aalen University of Applied Sciences,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208814.pdf?arnumber=10208814

Reference62 articles.

1. A comprehensive survey and taxonomy on single image dehazing based on deep learning;gui;ACM Computing Surveys,2022

2. No-Reference JPEG Image Quality Assessment Based on Blockiness and Luminance Change

3. Tasking on Natural Statistics of Infrared Images

4. A Survey of DNN Methods for Blind Image Quality Assessment

5. Image-to-Image Translation with Conditional Adversarial Networks

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. DSSCNet: Deep Custom Spatial and Spectral Consistency Layer-Based Dehazing Network;IEEE Access;2024

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