Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images
It offers an efficient method to enhance images captured by endoscopes and offers valuable insights into intricate human physiological structures, which can effectively assist clinical diagnosis and treatment.
Authors
- Enling Cao
- Huiqian Wang (ORCID: https://orcid.org/0000-0001-6409-0744)
- Zhiwei Huang (ORCID: https://orcid.org/0000-0002-9153-2904)
- Zhangyong Li (ORCID: https://orcid.org/0000-0002-3918-069X)
- En Mou (ORCID: https://orcid.org/0009-0000-9954-6705)
- Xiaodong Chen (ORCID: https://orcid.org/0000-0002-3312-1664)
- Yuanyuan Chen (ORCID: https://orcid.org/0000-0003-0687-1643)
- Yu Pang (ORCID: https://orcid.org/0000-0002-8990-8765)
Institutions
- Chongqing University of Posts and Telecommunications (CN)
- Southwest Medical University (CN)
- Zhoukou Normal University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1186/s12880-024-01386-2
- Citations
- 7
- Primary Topic
- Image Enhancement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.74
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Chongqing Municipal Education Commission
- Centre Scientifique et Technique du Bâtiment
- Southwest Medical University
- Chongqing Research Program of Technological Innovation and Application Demonstration
- Sichuan Province Science and Technology Support Program