Year: 2025
Type: article
Abstract: Low-light video enhancement is crucial in applications such as surveillance, automotive systems, and medical imaging, where visibility is affected by poor light conditions. This project proposes a new method for low-light video enhancement based on the Retinex theory. The Retinex algorithm, which is widely used for image enhancement, divides an image into illuminant and reflectance components, simulating human visual perception. However, when applied to low-light videos, the standard Retinex algorithm faces challenges such as noise amplification and temporal anomalies.
DOI: 10.46632/jeae/4/2/47
Language: English
Topic: Image Enhancement Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411111323