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- Tsinghua UniversityCN130 papers
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4 papers · 2 filters
Color-wise Attention Network for Low-light Image Enhancement
Yousef Atoum, Mao Ye, Liu Ren +2
Absence of nearby light sources while capturing an image will degrade the visibility and quality of the captured image, making computer vision tasks difficult. In this paper, a col…
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
Nan Meng, Hayden K. -H. So, Xing Sun +1
We consider the problem of high-dimensional light field reconstruction and develop a learning-based framework for spatial and angular super-resolution. Many current approaches eith…
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
Feifan Lv, Yu Li, Feng Lu
Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in…
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs
Haisheng Fu, Feng Liang, Bo Lei +5
Recently deep learning-based methods have been applied in image compression and achieved many promising results. In this paper, we propose an improved hybrid layered image compress…