Low-light Image Enhancement with Color Space (Cielab)
In this project, we implemented a color transformation from RGB to CIELAB to enhance low-light images.This transformation separates color information from brightness information, which improves contrast and overall quality.We are using a standard color conversion formula and combining it with other techniques, such as histogram equalization and neural networks, for better results.The project will have a user-friendly interface that allows users to upload and download images and compare the original and enhanced versions.The programming language used and the specific details of the implementation process are not mentioned.
Authors
- Kasthuri Subaramaniam (ORCID: https://orcid.org/0000-0003-0704-923X)
- Abdul Samad Shibghatullah (ORCID: https://orcid.org/0000-0001-9114-7945)
- Umer Shah (ORCID: https://orcid.org/0000-0002-8264-3231)
- Oras Baker (ORCID: https://orcid.org/0000-0002-0958-4861)
- Lei Xiong (ORCID: https://orcid.org/0000-0001-8986-7871)
Institutions
- University of Malaya (MY)
- Ravensbourne University London (GB)
- UCSI University (MY)
- Universiti Tenaga Nasional (MY)
Publication Details
- Journal
- Proceedings of International Conference on Artificial Life and Robotics
- Published
- 2025-02-13
- DOI
- https://doi.org/10.5954/icarob.2025.os20-1
- Primary Topic
- Image Enhancement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00