# Improvement of a Subpixel Convolutional Neural Network for a Super-Resolution Image
## 2 Materials and Methods
### R-ESPCN Structure
_IEEE Trans. Pattern Anal. Mach. Intell._**2015**, _38_, 295-307. [CrossRef] [PubMed]
* _[PERSON] et al. (2017)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, 21-26 July 2017; pp. 105-114. [CrossRef]
* _[PERSON] et al. (2017)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Enhanced Deep Residual Networks For Single Image Super-resolution. In Proceedings of the Conference on Computer Vision and Pattern Recognition Workshops, Honolulu, HI, USA, 21-26 July 2017; pp. 136-144. [CrossRef]
* _[PERSON] et al. (2016)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network. In Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27-30 June 2016; pp. 1874-1883. [CrossRef]
* _[PERSON] (2017)_ [PERSON]; [PERSON] [PERSON] NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study. In Proceedings of the IEEE Computer Vision and Pattern Recognition Workshops, Honolulu, HI, USA, 21-26 July 2017; pp. 1122-1131. [CrossRef]
* _[PERSON] et al. (2016)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep residual learning for image recognition. In Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27-30 June 2016; pp. 770-778. [CrossRef]
* _[PERSON] et al. (2015)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Going deeper with convolutions. In Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 7-12 June 2015. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Super Resolution Reconstruction Of Video Based On Efficient Subpixel Convolutional Neural Network For Urban Computing. _Wirel. Commun. Mob. Comput._**2020**, _2020_, 8865110. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]-W. MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention. _Mathematics_**2023**, _11_, 115. [CrossRef]
* _[PERSON] et al. (2010)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Suitable MLP network Activation Functions For Breast Cancer And Thyroid Disease Detection. In Proceedings of the 2010 Second International Conference on Computational Intelligence, Modelling and Simulation, Bali, Indonesia, 28-30 September 2010; pp. 39-44. [CrossRef]
* _[PERSON] et al. (2012)_ [PERSON]; [PERSON]; [PERSON] Imagenet Classification with Deep Convolutional Neural Networks. _Adv. Neural Inf. Process. Syst. (NIPS)_**2012**, _60_, 84-90. [CrossRef]
* _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] A Comparison of Pooling Methods for Convolutional Neural Networks. _Appl. Sci._**2022**, _12_, 8643. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] An improved generative adversarial network for remote sensing image super-resolution. _IET Image Process._**2023**, _17_, 1627-1977. [CrossRef]
* _[PERSON] et al. (2008)_ [PERSON]; [PERSON] Scope of Validity of PSNR in Image/Video Quality Assessment. _Electron. Lett._**2008**, _44_, 800-801. [CrossRef]
* _[PERSON] et al. (2016)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms. _arXiv_**2016**, arXiv:1605.07116. [CrossRef]
* _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Consequential Advancements of Self-Supervised Learning (SSL) in Deep Learning Contexts. _Mathematics_**2024**, _12_, 758.