Title
Low-light Enhancement Using Retinex-Decomposition Convolutional Neural Networks
Abstract
This paper proposes a new retinex-decomposition convolutional network (DC-Net) to enhance low-light images based on retinex theory. The proposed method estimates the reflectance and illumination components using Dc-Net. Bright-Net and Smooth-Net are used for the refined illumination, and Denoise-Net returns the noise-removed reflectance. Finally, A resultant image can be estimated by multiplying t...
Year
DOI
Venue
2022
10.1109/ICCE53296.2022.9730563
2022 IEEE International Conference on Consumer Electronics (ICCE)
Keywords
DocType
ISBN
Reflectivity,Image color analysis,Conferences,Neural networks,Lighting,Distortion,Convolutional neural networks
Conference
978-1-6654-4154-4
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Junghoon Sung100.34
Heunseung Lim200.68
Joongchol Shin300.68
Sangjae Ahn400.68
Joonki Paik500.68