Towards Low Light Enhancement With RAW Images

Author:

Huang Haofeng,Yang WenhanORCID,Hu YueyuORCID,Liu JiayingORCID,Duan Ling-YuORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

State Key Laboratory of Media Convergence Production Technology and Systems

Peking University (PKU)-Nanyang Technological University (NTU) Joint Research Institute (JRI) by the Ng Teng Fong Charitable Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 27 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. Unsupervised Illumination Adaptation for Low-Light Vision;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-09

2. Dense object detection methods in RAW UAV imagery based on YOLOv8;Scientific Reports;2024-08-04

3. Bridging the Gap Between Low-Light Raw and RGB Image Enhancement Using Domain Adversarial Transfer Network;IEEE Sensors Journal;2024-07-01

4. Beyond Learned Metadata-Based Raw Image Reconstruction;International Journal of Computer Vision;2024-06-17

5. Image Enhancement for Iris Analysis Using Deep Learning Algorithms - A Brief Survey;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

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