Open Access
Issue
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
Article Number 01052
Number of page(s) 12
DOI https://doi.org/10.1051/e3sconf/202343001052
Published online 06 October 2023
  1. C. Dong, C. C. Loy, K. He, X. Tang, Learning a Deep Convolutional Network for Image Super-Resolution, in Proceedings of the Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, D. Fleet, T. Pajdla, B. Schiele, T. Tuytelaars, (eds), Springer, Cham, 8692 (2014) [Google Scholar]
  2. K. Zhang, W. Luo, Y. Zhong, L. Ma, B. Stenger, W. Liu, H. Li, Deblurring by Realistic Blurring, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2020) [Google Scholar]
  3. J. Kostková, J. Flusser, M. Lébl, M. Pedone, Patt. Recog 103 (2021) [Google Scholar]
  4. K. Bajaj, D. K. Singh, M. A. Ansari, Procedia Comp. Sci 171 (2020) [Google Scholar]
  5. S. J. Cho, S. W. Ji, J. P. Hong, S. W. Jung, S. J. Ko, Rethinking Coarse-To-Fine Approach in Single Image Deblurring, in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2021) [Google Scholar]
  6. J. Bao, L. Luo, Y. Zhang, K. Yang, C. Peng, J. Peng, R. Li, Multi. Tools Appl 80 7 (2021) [Google Scholar]
  7. M. C. Corbineau, C. Bertocchi, E. Chouzenoux, M. Prato, J. C. Pesquet. IEEE/ICIP, 14, 2 (2019) [Google Scholar]
  8. P. Tran, A. T. Tran, Q. Phung, M. Hoai, Explore Image Deblurring via Encoded Blur Kernel Space, in Proceedings of the IEEE/CVF CVPR (2021) [Google Scholar]
  9. Y. Li, M. Tofighi, J. Geng, V. Monga, C. Eldar, IEEE Trans. Comput. Imag. 6, (2020) [Google Scholar]
  10. L. Huang, Y. Xia, T. Ye. IEEE Trans. Image Proc. 30 (2021) [Google Scholar]
  11. L. Tojo, M. Devi, V. Maik, Image Deblurring Algorithm Using Block Augmented Lagrangian with Low Rank Gradients, in Proceedings of the 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India (2021) [Google Scholar]
  12. D. Zhang, Z. Liang, J. Shao, Neurocomput 412, 6 (2020) [Google Scholar]
  13. T. Eboli, J. Sun, J. Ponce, End-to-end Interpretable Learning of Non-blind Image Deblurring, in Proceedings of the 16th European Conference on Computer Vision, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVII (2020) [Google Scholar]
  14. M. N. Mohammad, Ch. U. Kumari, A. S. D. Murthy, B. O. L. Jagan, K. Saikumar, Mater. Today Proc 45 (2021) [Google Scholar]
  15. S. Raju, R. P. Ram Kumar, P. Santhi, A. Gowri, Intl. J. Futu. Gener. Commun. Netw 13, 4 (2020) [Google Scholar]
  16. M. Thejaswee, V. Srilakshmi, K. Anuradha, G. Karuna, Performance Analysis of Machine Learning Algorithms for Text Classification, in Proceedings of the Advanced Informatics for Computing Research (ICAICR 2020), A. K. Luhach, D. S. Jat, K. H. Bin Ghazali, Gao, P. Lingras, (eds), Comm. Comp. Inform. Sci. Springer, Singapore 1393 (2021) [Google Scholar]
  17. R. P. Ram Kumar, P. Sanjeeva, S. F. Lazarus, D. V. Krishna, Intl. J. Inno. Tech. Explor. Engg 8, 11S2 (2019) [Google Scholar]
  18. M. Thejaswee, V. Srilakshmi, K. Anuradha, G. Karuna, Performance Analysis of Machine Learning Algorithms for Text Classification, in Proceedings of the Advanced Informatics for Computing Research (ICAICR 2020), A. K. Luhach, D. S. Jat, K. H. Bin Ghazali, Gao, P. Lingras, (eds), Comm. Comp. Inform. Sci. Springer, Singapore 1393 (2021) [Google Scholar]
  19. B. Sankara Babu, S. Nalajala, K. Sarada, V. Muniraju Naidu, N. Yamsani, K. Saikumar, Machine Learning based online Handwritten Telugu Letters Recognition for Different Domains, in Proceedings of A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems, P. Kumar, A. J. Obaid, K. Cengiz, A. Khanna, V. E. Balas (eds), Intelligent Systems Reference Library, 210. Springer (2022) [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.