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一种基于雪模型和深度学习融合的图像去雪算法 专利
专利类型: 发明, 专利号: CN111275627A, 公开日期: 2020-06-12,
Inventors:  田建东;  尹赫;  李鹏越;  唐延东
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Model-Based Deep Network for Single Image Deraining 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 14036-14047
Authors:  Li PY(李鹏越);  Tian JD(田建东);  Tang YD(唐延东);  Wang GL(王国霖);  Wu CD(吴成东)
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Rain removal  nonlinear rain model  channel attention U-DenseNet  residual dense block  image restoration  
Review of palm vein recognition 期刊论文
IET BIOMETRICS, 2020, 卷号: 9, 期号: 1, 页码: 1-10
Authors:  Wu W(吴微);  Elliott, Stephen John;  Lin S(林森);  Sun, Shenshen;  Tang YD(唐延东)
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Dually Connected Deraining Net Using Pixel-Wise Attention 期刊论文
IEEE Signal Processing Letters, 2020, 卷号: 27, 页码: 316-320
Authors:  Ren WH(任卫红);  Tian JD(田建东);  Wang Q(王强);  Tang YD(唐延东)
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Image deraining  pixel-wise attention  encoderdecoder  skip connection  
Saliency-Based Diver Target Detection and Localization Method 期刊论文
Mathematical Problems in Engineering, 2020, 卷号: 2020, 页码: 1-14
Authors:  Zhu, Jianjiang;  Yu SQ(余思泉);  Gao, Lei;  Han Z(韩志);  Tang YD(唐延东)
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基于优势特征图像融合的水下光学图像增强 期刊论文
光子学报, 2020, 卷号: 49, 期号: 3, 页码: 1-13
Authors:  林森;  迟凯晨;  李文涛;  唐延东
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数字图像处理  图像增强  图像融合  水下图像  海洋光学  水下成像系统  
基于整体和非局部低秩分解的视频脉冲噪声去除方法 期刊论文
计算机应用, 2020, 卷号: 40, 期号: S1, 页码: 165-170
Authors:  高振远;  韩志;  唐延东
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鲁棒主成分分析  整体关联性  非局部关联性  低秩  视频去噪  脉冲噪声  
基于修正模型与暗通道先验信息的水下图像复原 期刊论文
机器人, 2020, 卷号: 42, 期号: 4, 页码: 427-435, 447
Authors:  林森;  白莹;  李文涛;  唐延东
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水下机器人  图像复原  成像模型  红通道补偿  暗通道先验  
Low-rank decomposition on transformed feature maps domain for image denoising 期刊论文
Visual Computer, 2020, 页码: 1-17
Authors:  Luo Q(罗琼);  Liu BC(刘柏辰);  Zhang Y(张杨);  Han Z(韩志);  Tang YD(唐延东)
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Low-rank  Domain transformation  Autoencoder  Denoising  
多输入融合对抗网络的水下图像增强 期刊论文
红外与激光工程, 2020, 卷号: 49, 期号: 5, 页码: 1-9
Authors:  林森;  刘世本;  唐延东
View  |  Adobe PDF(2774Kb)  |  Favorite  |  View/Download:19/2  |  Submit date:2020/06/13
深度学习  生成对抗网络  多输入融合  编码解码框架  水下图像增强