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Sandstorm image enhancement based on YUV space

  • Published:2021-01 Issue: Volume:226 Page:165659
  • ISSN:0030-4026
  • Container-title:Optik
  • language:en
  • Short-container-title:Optik

Author:

Gao GuXue,Lai HuiCheng,Liu YueQin,Wang LieJun,Jia ZhenHong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference17 articles.

1. Well Production Real-Time Intelligent Monitoring Based on Convolutional Neural Network;Wang,2019

2. Autonomous navigation for unmanned underwater vehicles: real-time experiments using computer vision;Manzanilla;IEEE Robot. Autom. Lett.,2019

3. Vehicle tracking in wide area motion imagery via stochastic progressive association across multiple frames;Elliethy;IEEE Trans. Image Process.,2018

4. Image enhancement for LD based imaging in turbid water;Chen;Optik (Stuttg).,2016

5. Adaptive image enhancement based on guide image and fraction-power transformation for wireless capsule endoscopy;Long;IEEE Trans. Biomed. Circuits Syst.,2018

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3. Low-light road image enhancement based on optimized MSR;Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023);2024-04-01

4. AOSR-Net: All-in-One Sandstorm Removal Network;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

5. A Multi-Stream Attention-Aware Convolutional Neural Network: Monitoring of Sand and Dust Storms from Ordinary Urban Surveillance Cameras;Remote Sensing;2023-11-03
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