Study of the Behavior of Super Resolution on Soft-Classified Output
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
http://link.springer.com/content/pdf/10.1007/s12524-019-01026-1.pdf
Reference21 articles.
1. Capel, D., & Zisserman, A. (2003). Computer vision applied to super resolution. Signal Processing Magazine, 20(3), 75–86. https://doi.org/10.1109/msp.2003.1203211 .
2. Chan, T. F., Ng, M. K., Yau, A. C., & Yip, A. M. (2007). Superresolution image reconstruction using fast inpainting algorithms. Applied and Computational Harmonic Analysis, 23(1), 3–24. https://doi.org/10.1016/j.acha.2006.09.005 .
3. Chin, J., & Mehmood, A. (2019). Generative adversarial networks based super resolution of satellite aircraft imagery. In Procedings SPIE 10995, Pattern Recognition and Tracking XXX, 109950 W. https://doi.org/10.1117/12.2524720 .
4. Cho, W.-H., Kim, D., & Hong, K. (2007). CMOS digital image stabilization. IEEE Transactions on Consumer Electronics, 53(3), 979–986. https://doi.org/10.1109/TCE.2007.4341576 .
5. Chopade, P. B., & Patil, P. M. (2015). Single and multi frame image super-resolution and its performance analysis: a comprehensive survey. International Journal of Computer Applications, 111(15), 8887. https://doi.org/10.5120/19616-1510 .
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