11 citations · 27 across the 9 of their papers we have counts for
4 papers · 1 filter
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionar
Mengyao Li, Liquan Shen, Peng Ye +2
Thriving underwater applications demand efficient extreme compression technology to realize the transmission of underwater images (UWIs) in very narrow underwater bandwidth. Howeve…
UIERL: Internal-External Representation Learning Network for Underwater Image Enhancement
Zhengyong Wang, Liquan Shen, Yihan Yu +1
Underwater image enhancement (UIE) is a meaningful but challenging task, and many learning-based UIE methods have been proposed in recent years. Although much progress has been mad…
Multi-Modality Deep Network for JPEG Artifacts Reduction
Xuhao Jiang, Weimin Tan, Qing Lin +3
In recent years, many convolutional neural network-based models are designed for JPEG artifacts reduction, and have achieved notable progress. However, few methods are suitable for…
Multi-Modality Deep Network for Extreme Learned Image Compression
Xuhao Jiang, Weimin Tan, Tian Tan +2
Image-based single-modality compression learning approaches have demonstrated exceptionally powerful encoding and decoding capabilities in the past few years , but suffer from blur…