Image Desaturation for SDO/AIA Using Deep Learning

Author:

Yu Xuexin,Xu LongORCID,Yan Yihua

Funder

National Natural Science Foundation of China

CAAI-Huawei MindSpore Open Fund

Publisher

Springer Science and Business Media LLC

Subject

Space and Planetary Science,Astronomy and Astrophysics

Reference25 articles.

1. Gatys, L.A., Ecker, A.S., Bethge, M.: 2016, Image style transfer using convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2414.

2. Guastavino, S., Piana, M., Massone, A.M., Schwartz, R., Benvenuto, F.: 2019, Desaturating SDO/AIA observations of solar flaring storms. Astrophys. J. 882(2), 109. DOI.

3. Ioffe, S., Szegedy, C.: 2015, Batch normalization: accelerating deep network training by reducing internal covariate shift. In: International Conference on Machine Learning, 448.

4. Isola, P., Zhu, J.-Y., Zhou, T., Efros, A.A.: 2017, Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1125.

5. Johnson, J., Alahi, A., Fei-Fei, L.: 2016, Perceptual losses for real-time style transfer and super-resolution. In: European Conference on Computer Vision, Springer, Berlin, 694.

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