Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing

Bo Shen, Rongxuan Wang, Andrew Chung Chee Law, Rakesh Kamath, Hahn Choo, Zhenyu (James) Kong. Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing. Technometrics, 64(1):2-17, 2022. [doi]

@article{ShenWLKCK22,
  title = {Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing},
  author = {Bo Shen and Rongxuan Wang and Andrew Chung Chee Law and Rakesh Kamath and Hahn Choo and Zhenyu (James) Kong},
  year = {2022},
  doi = {10.1080/00401706.2021.1905074},
  url = {https://doi.org/10.1080/00401706.2021.1905074},
  researchr = {https://researchr.org/publication/ShenWLKCK22},
  cites = {0},
  citedby = {0},
  journal = {Technometrics},
  volume = {64},
  number = {1},
  pages = {2-17},
}