成果/Result
- End-to-End Exposure Fusion Using Convolutional Neural Network被引量:15收藏
- 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
- 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
- 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