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  • 收录类型=SCI-EXPANDED x
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End-to-End Exposure Fusion Using Convolutional Neural Network被引量:15收藏 分享
作者:Wang, Jinhua Wang, Weiqiang Xu, Guangmei Liu, Hongzhe
机构:Univ Chinese Acad Sci;Beijing Union Univ;Beijing Key Lab Informat Serv Engn
来源:IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS  2018
关键词:exposure fusion   convolutional neural networks   fusion rule   activity level measurement  
Non-local sparse regularization model with application to image denoising被引量:12收藏 分享
作者:He, Ning Wang, Jin-Bao Zhang, Lu-Lu Xu, Guang-Mei Lu, Ke
机构:Beijing Union Univ;Univ Chinese Acad Sci
来源:MULTIMEDIA TOOLS AND APPLICATIONS  2016
关键词:Image denoising   Non-local means   Sparse coding   Regularization   Self-similarity  
Exposure fusion via sparse representation and shiftable complex directional pyramid transform被引量:5收藏 分享
作者:Wang, Jinhua Wang, Weiqiang Li, Bing Xu, Guangmei Zhang, Ruizhe Zhang, Jingzun
机构:Univ Chinese Acad Sci;Beijing Union Univ;Chinese Acad Sci
来源:MULTIMEDIA TOOLS AND APPLICATIONS  2017
关键词:Exposure fusion   PDTDFB   Sparse representation   Fusion rule  
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