Author:
Liang Pengwei,Jiang Junjun,Liu Xianming,Ma Jiayi
Publisher
Springer Nature Switzerland
Reference54 articles.
1. Bevilacqua, M., Roumy, A., Guillemot, C., Alberi-Morel, M.L.: Low-complexity single-image super-resolution based on nonnegative neighbor embedding. In: Proceedings of the British Machine Vision Conference, pp. 135.1-135.10. BMVA press (2012)
2. Burt, P.J., Kolczynski, R.J.: Enhanced image capture through fusion. In: Proceedings of IEEE International Conference on Computer Vision, pp. 173–182. IEEE (1993)
3. Cai, J., Gu, S., Zhang, L.: Learning a deep single image contrast enhancer from multi-exposure images. IEEE Trans. Image Process. 27(4), 2049–2062 (2018)
4. Chen, H., Varshney, P.K.: A human perception inspired quality metric for image fusion based on regional information. Inf. Fusion 8(2), 193–207 (2007)
5. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: Proceedings of the International Conference on Machine Learning, pp. 1597–1607. PMLR (2020)
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