References
- Agarwal, A., Jawahar, C., and Narayanan, P. (2005), “A Survey of Planar Homography Estimation Techniques,” Centre for Visual Information Technology, Tech. Rep. IIIT/TR/2005/12, Hyderabad, India: International Institute of Information Technology.
- Al-Bermani, S., Blackmore, M., Zhang, W., and Todd, I. (2010), “The Origin of Microstructural Diversity, Texture, and Mechanical Properties in Electron Beam Melted ti-6al-4v,” Metallurgical and Materials Transactions A, 41, 3422–3434. DOI: https://doi.org/10.1007/s11661-010-0397-x.
- Baker, S., Scharstein, D., Lewis, J., Roth, S., Black, M. J., and Szeliski, R. (2011), “A Database and Evaluation Methodology for Optical Flow,” International Journal of Computer Vision, 92, 1–31. DOI: https://doi.org/10.1007/s11263-010-0390-2.
- Candes, E. J., Wakin, M. B., and Boyd, S. P. (2008), “Enhancing Sparsity by Reweighted l 1 Minimization,” Journal of Fourier Analysis and Applications, 14, 877–905. DOI: https://doi.org/10.1007/s00041-008-9045-x.
- Chandola, V., Banerjee, A., and Kumar, V. (2009), “Anomaly Detection: A Survey,” ACM Computing Surveys (CSUR), 41, 1–58. DOI: https://doi.org/10.1145/1541880.1541882.
- Cheng, B., Lydon, J., Cooper, K., Cole, V., Northrop, P., and Chou, K. (2018), “Infrared Thermal Imaging for Melt Pool Analysis in SLM: A Feasibility Investigation,” Virtual and Physical Prototyping, 13, 8–13. DOI: https://doi.org/10.1080/17452759.2017.1392685.
- Cichocki, A., Zdunek, R., and Amari, S.-i. (2007), “Hierarchical ALS Algorithms for Nonnegative Matrix and 3d Tensor Factorization,” In International Conference on Independent Component Analysis and Signal Separation, M. Davies, J. Christopher, S. Abdallah, and M. Plumbley, eds., pp. 169–176. Heidelberg, Berlin: Springer.
- Cunningham, R., Zhao, C., Parab, N., Kantzos, C., Pauza, J., Fezzaa, K., Sun, T., and Rollett, A. D. (2019), “Keyhole Threshold and Morphology in Laser Melting Revealed by Ultrahigh-Speed X-ray Imaging,” Science, 363, 849–852. DOI: https://doi.org/10.1126/science.aav4687.
- Didyk, P., Sitthi-Amorn, P., Freeman, W., Durand, F., and Matusik, W. (2013), “Joint View Expansion and Filtering for Automultiscopic 3d Displays,” ACM Transactions on Graphics (TOG), 32, 1–8. DOI: https://doi.org/10.1145/2508363.2508376.
- Efford, N. (2000), Digital Image Processing: A Practical Introduction Using Java (With CD-ROM), Boston, MA: Addison-Wesley Longman Publishing Co., Inc.
- Farsiu, S., Robinson, M. D., Elad, M., and Milanfar, P. (2004), “Fast and Robust Multiframe Super Resolution,” IEEE Transactions on Image Processing, 13, 1327–1344. DOI: https://doi.org/10.1109/TIP.2004.834669.
- Glasner, D., Bagon, S., and Irani, M. (2009), “Super-resolution From a Single Image,” in 2009 IEEE 12th International Conference on Computer Vision, 349–356. New York: IEEE.
- Haines, M., Plotkowski, A., Frederick, C. L., Schwalbach, E. J., and Babu, S. S. (2018), “A Sensitivity Analysis of the Columnar-to-equiaxed Transition for NI-based Superalloys in Electron Beam Additive Manufacturing,” Computational Materials Science, 155, 340–349. DOI: https://doi.org/10.1016/j.commatsci.2018.08.064.
- Hitchcock, F. L. (1927), “The Expression of a Tensor or a Polyadic as a Sum of Products,” Journal of Mathematics and Physics, 6, 164–189. DOI: https://doi.org/10.1002/sapm192761164.
- Irani, M., and Peleg, S. (1991), “Improving Resolution by Image Registration,” CVGIP: Graphical Models and Image Processing, 53, 231– 239. DOI: https://doi.org/10.1016/1049-9652(91)90045-L.
- Kolda, T. G., and Bader, B. W. (2009), “Tensor Decompositions and Applications,” SIAM Review, 51, 455–500. DOI: https://doi.org/10.1137/07070111X.
- Li, X., Ye, Y., and Xu, X. (2017), “Low-rank Tensor Completion With Total Variation for Visual Data Inpainting,” in Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, CA, pp. 2210–2216.
- Lin, W., and Dong, L. (2006), “Adaptive Downsampling to Improve Image Compression at Low Bit Rates,” IEEE Transactions on Image Processing, 15(9):2513–2521. DOI: https://doi.org/10.1109/tip.2006.877415.
- Liu, C., Law, A. C. C., Roberson, D., and Kong, Z. J. (2019), “Image Analysis-based Closed Loop Quality Control for Additive Manufacturing With Fused Filament Fabrication,” Journal of Manufacturing Systems, 51, 75–86. DOI: https://doi.org/10.1016/j.jmsy.2019.04.002.
- Liu, J., Musialski, P., Wonka, P., and Ye, J. (2012), “Tensor Completion for Estimating Missing Values in Visual Data,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 208–220. DOI: https://doi.org/10.1109/TPAMI.2012.39.
- Michaleris, P. (2014), “Modeling Metal Deposition in Heat Transfer Analyses of Additive Manufacturing Processes,” Finite Elements in Analysis and Design, 86, 51–60. DOI: https://doi.org/10.1016/j.finel.2014.04.003.
- Nah, S., Son, S., Timofte, R., Lee, K. M., Siyao, L., Pan, Z., Xu, X., Sun, W., Choi, M., Kim, H., et al. (2019), “Aim 2019 Challenge on Video Temporal Super-resolution: Methods and Results,” in 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 3388–3398. IEEE. DOI: https://doi.org/10.1109/ICCVW.2019.00421.
- Oriani, E. (2011), qpsnr: A quick psnr/ssim analyzer for linux.
- Peleg, T., Szekely, P., Sabo, D., and Sendik, O. (2019), “Im-net for High Resolution Video Frame Interpolation,” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2398–2407.
- Raplee, J., Plotkowski, A., Kirka, M. M., Dinwiddie, R., Okello, A., Dehoff, R. R., and Babu, S. S. (2017), “Thermographic Microstructure Monitoring in Electron Beam Additive Manufacturing,” Scientific Reports, 7, 1–16. DOI: https://doi.org/10.1038/srep43554.
- Sames, W. J., List, F., Pannala, S., Dehoff, R. R., and Babu, S. S. (2016), “The Metallurgy and Processing Science of Metal Additive Manufacturing,” International Materials Reviews, 61, 315–360. DOI: https://doi.org/10.1080/09506608.2015.1116649.
- Shaw, G. A., and Burke, H. K. (2003), “Spectral Imaging for Remote Sensing,” Lincoln Laboratory Journal, 14, 3–28.
- Shen, B., Xie, W., and Kong, Z. J. (2020), “Clustered Discriminant Regression for High-dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing,” IEEE Transactions on Automation Science and Engineering, 19, 1–13.
- Snoek, J., Larochelle, H., and Adams, R. P. (2012). “Practical Bayesian Optimization of Machine Learning Algorithms,” in Advances in Neural Information Processing Systems, F. Pereira, C.J.C. Burges, L. Bottou, K.Q. Weinberger, eds., 2951–2959, San Francisco, CA: Morgan Kaufmann Publishers Inc.
- Song, Q., Ge, H., Caverlee, J., and Hu, X. (2019), “Tensor Completion Algorithms in Big Data Analytics,” ACM Transactions on Knowledge Discovery from Data (TKDD), 13:6. DOI: https://doi.org/10.1145/3278607.
- Tucker, L. R. (1966), “Some Mathematical Notes on Three-mode Factor Analysis,” Psychometrika, 31, 279–311. DOI: https://doi.org/10.1007/BF02289464.
- Wang, P.-P., Li, L., and Cheng, G.-H. (2019), “Low Rank Tensor Completion With Sparse Regularization in a Transformed Domain,” arXiv preprint arXiv:1911.08082.
- Yan, H., Paynabar, K., and Shi, J. (2017), “Anomaly Detection in Images With Smooth Background Via Smooth-sparse Decomposition,” Technometrics, 59, 102–114. DOI: https://doi.org/10.1080/00401706.2015.1102764.
- Yan, H., Paynabar, K., and Shi, J. (2018), “Real-time Monitoring of High-dimensional Functional Data Streams Via Spatio-temporal Smooth Sparse Decomposition,” Technometrics, 60, 181–197.
- Yang, W., Zhang, X., Tian, Y., Wang, W., Xue, J.-H., and Liao, Q. (2019), “Deep Learning for Single Image Super-resolution: A Brief Review,” IEEE Transactions on Multimedia, 21, 3106–3121. DOI: https://doi.org/10.1109/TMM.2019.2919431.
- Yokota, T., Zhao, Q., and Cichocki, A. (2016), “Smooth Parafac Decomposition for Tensor Completion,” IEEE Transactions on Signal Processing, 64, 5423–5436. DOI: https://doi.org/10.1109/TSP.2016.2586759.
- Zhao, Q., Zhang, L., and Cichocki, A. (2015), “Bayesian cp Factorization of Incomplete Tensors With Automatic Rank Determination,” IEEE transactions on Pattern Analysis and Machine Intelligence, 37, 1751–1763. DOI: https://doi.org/10.1109/TPAMI.2015.2392756.
- Zheng, Y.-B., Huang, T.-Z., Ji, T.-Y., Zhao, X.-L., Jiang, T.-X., and Ma, T.-H. (2019), “Low-rank Tensor Completion Via Smooth Matrix Factorization,” Applied Mathematical Modelling, 70, 677–695. DOI: https://doi.org/10.1016/j.apm.2019.02.001.