Author:
Madhu Prathmesh R.,Joshi Manjunath V.
Reference24 articles.
1. Baker, S., Kanade, T.: Limits on super-resolution and how to break them. IEEE Trans. Pattern Anal. Mach. Intell. 24(9), 1167–1183 (2002)
2. Bose, N., Kim, H., Valenzuela, H.: Recursive implementation of total least squares algorithm for image reconstruction from noisy, undersampled multiframes. In: 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1993. ICASSP-93, vol. 5, pp. 269–272. IEEE (1993)
3. Burger, H.C., Schuler, C.J., Harmeling, S.: Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds. arXiv:1211.1544 (2012)
4. Cui, Z., Chang, H., Shan, S., Zhong, B., Chen, X.: Deep network cascade for image super-resolution. In: Computer Vision–ECCV 2014, pp. 49–64. Springer (2014)
5. Dong, C., Loy, C.C., He, K., Tang, X.: Learning a deep convolutional network for image super-resolution. In: Computer Vision–ECCV 2014, pp. 184–199. Springer (2014)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献