| Title: | OS20-1 Low-light Image Enhancement with Color Space (Cielab) |
|---|---|
| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 551-554 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.OS20-1 |
| Author(s): | Lee Kok Xiong, Kasthuri Subaramaniam, Umm E Mariya Shah, Abdul Shibghatullah, Oras Baker |
| Publication Date: | February 13, 2025 |
| Keywords: | Low-light, Image Enhancement, Color Space, Cielab |
| Abstract: | 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. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS20/OS20-1.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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