Unsupervised Low-Light Image Enhancement Based on Explicit Denoising and Knowledge Distillation
Under low-illumination conditions, the quality of image signals deteriorates significantly, typically characterized by a peak signal-to-noise ratio (PSNR) below 10 dB, which severely limits the usability of the images. Superv... | Find, read and cite all the research you need on Tech Science Press
Authors
- Shuiwang Li
- Xinzhe Wang (ORCID: https://orcid.org/0000-0002-0361-7765)
- Feng Guo
- Hao Zhang (ORCID: https://orcid.org/0000-0002-2928-2692)
- Xianming Liu (ORCID: https://orcid.org/0000-0002-8857-1785)
- Wenkai Zhang (ORCID: https://orcid.org/0000-0002-9574-6272)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-12-12
- DOI
- https://doi.org/10.32604/cmc.2024.059000
- Citations
- 2
- Primary Topic
- Image Enhancement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.50
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Guangxi Province