References
- Best, L. A. 2008. “Visual Extrapolation of Linear and Nonlinear Trends: Does the Knowledge of Underlying Trend Type Affect Accuracy and Response Bias [J].” Advances in Computer and Information Sciences 273–278.
- Chen, J., H. Gao, and X. Bi. 2015. “Method and Application of Image Super-Resolution Restoration [J].” Laser and Optoelectronics, no. 12: 1–10.
- Harris, J. L. 1964. “Diffraction and Resolving Power [J].” Journal of the Optical Society of America 54 (7): 931–936. doi:10.1364/JOSA.54.000931.
- Jeon, J., and J. Paik. 2015. “Single Image Super-Resolution Based on Subpixel Shifting model[J].” Optik 126 (24): 4954–4959. doi:10.1016/j.ijleo.2015.09.169.
- Kober, V., and I. A. Ovseyevich. 2008. “Image Restoration with Sliding Sinusoidal Transforms [J].” Pattern Recognition and Image Analysis 18 (4): 649–653. doi:10.1134/S1054661808040172.
- Ma, D. D. 2009. “Remote Sensing Image Restoration and Super-Resolution Algorithm and Its Implementation of [J].” Parallel Optoelectronics Laser, no. 10: 1365~1370.
- Sawant, P., and P. Liu. 2011. “Integrating Bilateral Interpolation into Multi-Frame Nonuniform Interpolation for Super resolution[C].” Proceedings of the 2011 International Conference on Image Processing, Computer Vision and Pattern Recognition 2: 701–706.
- Tsai, R., and T. Huang. 1984. “Multiframe Image Restoration and Registration [J].” Advances in Computer Vision and Image Processing 1: 317–339.
- Vandewalle, P., S. Süsstrunk, and M. Vetterll. 2006. “A Frequency Domain Approach to Registration of Aliased Images with Application to super-resolution[J].” Eurasip Journal on Applied Signal Processing 1–14.
- Wang, J., S. P. Zhang, Q. S. Sun, and D. Xia. 2010. “Remote Sensing Image Frequency Domain MAP Estimation Correction Super-Resolution Algorithm [J].” Journal of Southeast University 40 (1): 84–88.
- Wu, A. X. 2015. “Super-Resolution Reconstruction Based on Dictionary Learning and Non-Local Similarity [J].” Computer and Digital Engineering, no. 6: 1113–1117.
- Xiao, C. B., J. Duan, and J. Yu. 2009. “POCS Super-Resolution Reconstruction from Image Sequences [J].” Journal of Beijing University of Technology 35 (1): 108–113.
- Xie, X., and X. J. Zhao. 2014. “A Method for Improving the Image Edge Effect Based on POCS Super Resolution Reconstruction [J].” Laser and Infrared 44: 687–701.
- Xu, M., and Q. Sun. 2014. “Super-Resolution Imaging Based on Generalized Total Variation regularization[J].” Sensor Letters 12 (2): 345–351. doi:10.1166/sl.2014.3243.
- Yuan, Q., L. Zhang, and H. Shen. 2012. “Multiframe Super-Resolution Employing a Spatially Weighted Total Variation model[J].” IEEE Transactions on Circuits and Systems for Video Technology 22 (3): 379–392. doi:10.1109/TCSVT.2011.2163447.
- Yuan, Q., L. Zhang, and H. Shen. 2013. “Regional Spatially Adaptive Total Variation Super-Resolution with Spatial Information Filtering and clustering[J].” IEEE Transactions on Image Processing 22 (6): 2327–2342. doi:10.1109/TIP.2013.2251648.
- Zhang, L., Q. Yuan, H. Shen, and P. Li. 2011. “Multiframe Image Super-Resolution Adapted with Local Spatial information[J].” Journal of the Optical Society of America 28 (3): 381–390. doi:10.1364/JOSAA.28.000381.