A Survey of Image Dehazing Algorithm Based on Retinex Theory
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9336195/9336196/09336197.pdf?arnumber=9336197
Cited by 5 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. Active non-line-of-sight imaging through dense fog via hybrid intelligent enhancement perception system;Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems;2024-04-30
2. QCNN-H: Single-Image Dehazing Using Quaternion Neural Networks;IEEE Transactions on Cybernetics;2023-09
3. Research on Driving Obstacle Detection Technology in Foggy Weather Based on GCANet and Feature Fusion Training;Sensors;2023-03-04
4. Improved Multiscale Retinex for Image Enhancement Using Guided Filter and Customized Sigmoid Function;Lecture Notes in Networks and Systems;2023
5. Survey of methods and evaluation of Retinex-inspired image enhancers;Journal of Electronic Imaging;2022-12-23
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