Detachable image decomposition and illumination mapping search for low-light image enhancement
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Publication:6049357
DOI10.1016/J.CAM.2023.115435MaRDI QIDQ6049357
Zijian Huang, Tieyong Zeng, Fan Jia, Shen Mao
Publication date: 15 September 2023
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Artificial intelligence (68Txx) Miscellaneous topics in calculus of variations and optimal control (49Nxx) Information and communication theory, circuits (94-XX)
Cites Work
- Nonlinear total variation based noise removal algorithms
- A detail preserving variational model for image Retinex
- A Total Variation Model for Retinex
- Perceptual Quality Assessment for Multi-Exposure Image Fusion
- Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images
- Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model
- LIME: Low-Light Image Enhancement via Illumination Map Estimation
- LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model
- Lightening Network for Low-Light Image Enhancement
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