Deep neural networks have achieved remarkable progress in enhancing low-...
The success of deep neural networks for pan-sharpening is commonly in a ...
Lightness adaptation is vital to the success of image processing to avoi...
Image dehazing is quite challenging in dense-haze scenarios, where quite...
Learning to restore multiple image degradations within a single model is...
Pan-sharpening aims to generate a high-resolution multispectral (HRMS) i...
In this paper, orthogonal to the existing data and model studies, we ins...
Image and video restoration has achieved a remarkable leap with the adve...
Ultra-High-Definition (UHD) photo has gradually become the standard
conf...
Existing convolutional neural networks widely adopt spatial down-/up-sam...
Federated learning is a newly emerging distributed learning framework th...
Low-light image enhancement is an inherently subjective process whose ta...
Deep learning-based source dehazing methods trained on synthetic dataset...
Deep learning provides a new avenue for image restoration, which demands...
Face authentication usually utilizes deep learning models to verify user...