Work

Low-light Image Enhancement with Color Space (Cielab)

Year: 2025

Type: conference-paper

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.

Source: Proceedings of International Conference on Artificial Life and Robotics

DOI: 10.5954/icarob.2025.os20-1

Authors: Lee Kok Xiong, Kasthuri Subaramaniam, Umm E Mariya Shah, Abdul Shibghatullah, Oras Baker

Institutions: UCSI University, University of Malaya, Universiti Tenaga Nasional, Ravensbourne University London

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4409914159

FWCI:

Cites: 13

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Related to: 10