1
University Of Applied Science, Faculty of Literature and Science, Manama, Bahrain
(Zahraamathscience1243@gmail.com)
Abstract :
High-resolution technologies are aimed at obtaining a high-resolution image from a low-resolution image, and the importance of this field has increased due to the emergence of the need to have high-resolution images in many important applications such as medical, security, and other images. Methods for obtaining ultra-high-resolution images have developed after the advent of Deep Learning Technologies, which have shown good results in this task, Due to the importance of the field of ultra-high-resolution images and deep learning, In this article we will explain one of the deep learning models used to obtain a high-resolution image from a low-resolution image and how to build and train it based on one of the famous deep learning offices and using one of the google platforms used in training, namely Google Laboratory
Keywords :
Deep learning; high-resolution; images; low-resolution
References :
[1] Gaidhani, P. (n.d.). Super Resolution. 2021
[2] Chen, H., He, X., Qing, L., Wu, Y., Ren, C., & Zhu, C. (2021, Mar 3). Real-World Single Image Super-Resolution. p. 18.
[3] Karimi, E., Kangarloo, K., & javadi, S. (2014, Feb). A Survey on Super-Resolution Methods for Image Reconstruction.
[4] Dong, C., Loy, C., He, K., & Tang, X. (2015, Jul 31). Image Super-Resolution Using Deep. p. 14.
[5] Wang, Z., Chen, J., Hoi, S., Fellow, & IEEE. (2020, Feb 8). Deep Learning for Image Super-resolution: p. 24.
[6] Al Basheer, O., " On Some Novel Simplex Linear Codes Defined Over The Algebraic Ring F2+VF2 ", Neoma Journal Of Mathematics and Computer Science, 2023
| Style | # |
|---|---|
| MLA | Zahraa Hasan. "Deep Learning for Super Resolution and Applications." Galoitica: Journal of Mathematical Structures and Applications, Vol. 8, No. 2, 2023 ,PP. 34-42 (Doi : https://doi.org/10.54216/GJMSA.080204) |
| APA | Zahraa Hasan. (2023). Deep Learning for Super Resolution and Applications. Journal of Galoitica: Journal of Mathematical Structures and Applications, 8 ( 2 ), 34-42 (Doi : https://doi.org/10.54216/GJMSA.080204) |
| Chicago | Zahraa Hasan. "Deep Learning for Super Resolution and Applications." Journal of Galoitica: Journal of Mathematical Structures and Applications, 8 no. 2 (2023): 34-42 (Doi : https://doi.org/10.54216/GJMSA.080204) |
| Harvard | Zahraa Hasan. (2023). Deep Learning for Super Resolution and Applications. Journal of Galoitica: Journal of Mathematical Structures and Applications, 8 ( 2 ), 34-42 (Doi : https://doi.org/10.54216/GJMSA.080204) |
| Vancouver | Zahraa Hasan. Deep Learning for Super Resolution and Applications. Journal of Galoitica: Journal of Mathematical Structures and Applications, (2023); 8 ( 2 ): 34-42 (Doi : https://doi.org/10.54216/GJMSA.080204) |
| IEEE | Zahraa Hasan, Deep Learning for Super Resolution and Applications, Journal of Galoitica: Journal of Mathematical Structures and Applications, Vol. 8 , No. 2 , (2023) : 34-42 (Doi : https://doi.org/10.54216/GJMSA.080204) |