Enhance dim images by encoding image features by width, height, and channel with MixNet
Enhance dim images by encoding image features by width, height, and channel with MixNet
MixNet: Towards Effective and Efficient UHD Low-Light Image Enhancement
arXiv paper abstract https://arxiv.org/abs/2401.10666
arXiv PDF paper https://arxiv.org/pdf/2401.10666.pdf
... prevalence of Ultra-High-Definition (UHD) images is rising ... many image restoration methods ... not ... applicable to UHD images on devices with limited computational resources
... on ... low-light image enhancement (LLIE) ... propose ... MixNet, which is designed explicitly for UHD images.
To capture the long-range dependency of features without introducing excessive computational complexity, ... present the Global Feature Modulation Layer (GFML).
GFML associates features from different views by permuting the feature maps, enabling efficient modeling of long-range dependency.
... also design the Local Feature Modulation Layer (LFML) and Feed-forward Layer (FFL) to capture local features and transform features into a compact representation.
... MixNet achieves effective LLIE with few model parameters and low computational complexity ... surpasses ... current state-of-the-art methods ...
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