Open Access
ITM Web Conf.
Volume 44, 2022
International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
Article Number 03054
Number of page(s) 6
Section Computing
Published online 05 May 2022
  1. Jianchao Yang, Wright, J., Huang, T. S., & Yi Ma. (2010). Image Super-Resolution Via Sparse Representation. IEEE Transactions on Image Processing, 19(11), 2861–2873. [CrossRef] [MathSciNet] [Google Scholar]
  2. Capel, D., & Zisserman, A. (2003). Computer vision applied to super resolution. IEEE Signal Processing Magazine, 20(3), 75–86. [CrossRef] [Google Scholar]
  3. Sung Cheol Park, Min Kyu Park, & Moon Gi Kang. (2003). Super-resolution image reconstruction: a technical overview. IEEE Signal Processing Magazine, 20(3), 21–36. [CrossRef] [Google Scholar]
  4. Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang. Image super-resolution using deep convolutional networks. IEEE TPAMI, 38 [Google Scholar]
  5. Manuel Fritsche, Shuhang Gu, and Radu Timofte. Frequency separation for real-world superresolution. In ICCVW, 2019. [Google Scholar]
  6. Yue, Linwei & Shen, Huanfeng & Li, Jie & Yuan, Qiangqiang & Zhang, Hongyan & Zhang, Liangpei. (2016). Image super-resolution: The techniques, applications, and future. Signal Processing. 128. 10.1016/j.sigpro.2016.05.002. [Google Scholar]
  7. Christo Ananth, G. Gayathri, I. Uma Sankari, A. Vidhya, P. Karthiga, “Automatic ImageSegmentation method based on ALG”, International Journal of Innovative Research in Computerand Communication Engineering (IJIRCCE), Vol. 2, Issue 4, April 2014, pp. 3716–3721 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.