Jan 21, 2023 · Low-light image enhancement studies how to improve the quality of images captured under poor lighting conditions, which is of real-world ...
Low-light image enhancement studies how to improve the quality of images captured under poor lighting conditions, which is of real-world importance.
Jan 21, 2023 · In this paper, we propose a knowledge distillation method for low light image enhancement. The proposed method uses a teacher-student framework ...
This is a resource list for low light image enhancement, including datasets, methods/codes/papers, metrics and so on. Looking forward to your sharing!
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Low-light image enhancement studies how to improve the quality of images captured under poor lighting conditions, which is of real-world importance.
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Feb 28, 2024 · We introduce CPGA-Net, an innovative LLIE network that combines dark/bright channel priors and gamma correction via deep learning.
Experimental results show that the proposed dual-teacher knowledge distillation outperforms Retinex-Net and other existing methods, particularly for ultra low- ...
Jun 30, 2023 · A multitask model for nighttime low-light image enhancement and object detection based on knowledge distillation and data enhancement was proposed.
At the same time, the loss function for low illumination image characteristics is designed to improve the accuracy of the network model in image reconstruction.
Nov 11, 2022 · Low-light image enhancement studies how to improve the quality of images captured under poor lighting conditions, which is of real-world ...