4 天前 - … convolutional layers and modules for decomposing and enhancing low-light images.
… it applies the image enhancement process to low-light facial images before feeding them …

5 天前 - … -guided low-light image enhancement network. The network focuses on enhancing
features … in a variety of situations, and ensures uniform local illumination of the image. …

5 天前 - … performance of the unsupervised low-light image enhancement algorithm based on
… image enhancement algorithms, such as the traditional NPE method and the deep learning…

6 天前 - … use of style transfer in applications that require photorealistic results, such as image
enhancement in low-light … that involves a modified U-Net-based architecture with iv dense …

8 天前 - … -photon imaging has been wildly adopted under low-light conditions including
biomedical imaging [… data under low-light conditions, we built a prototype system for fluorescence …

12 天前 - … , still have difficulty in low-light imaging due to compact … burst images, it differs
from these burst image enhancement … image by utilizing extra short-exposure burst images. …

13 天前 - … Hence, we propose to crop a low-light image into … we enhance different patch
categories with different network complexities, therefore, a Category-specific Processing Network (…

20 天前 - … KinD mine map image enhancement method, we selected low-light mine tunnel …
mine image enhancement method based on the improved KinD deep neural network proposed …

21 天前 - … enhancing such content using deep learning is the scarcity of training data. This
paper introduces a novel low-light … ], designed for low-light image enhancement in the wavelet …

23 天前 - … rapid development of deep learning, convolutional neural networks have achieved
a … begin to use deep learning methods to process lowlight images. Deep learning-based …