Fusion of Images of Different Spectra Based on Generative Adversarial Networks
- Авторы: Vizil’ter Y.1, Vygolov O.1, Komarov D.1, Lebedev M.1
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Учреждения:
- State Scientific Research Institute of Aviation Systems (GosNIIAS)
- Выпуск: Том 58, № 3 (2019)
- Страницы: 441-453
- Раздел: Pattern Recognition and Image Processing
- URL: https://journals.rcsi.science/1064-2307/article/view/220389
- DOI: https://doi.org/10.1134/S1064230719030201
- ID: 220389
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Аннотация
A method for fusing images of different spectra by using generative adversarial networks is proposed. An original architecture of a FusionNet neural network is developed based on pix2pix. It enables the synthesis of a complex (integrated) image that comprises the most informative fragments of different-spectra images, thus being more informative than any of these individual images. A technique for generating training and test sets, as well as the process of data augmentation, is described. The operation of the proposed image fusion method is demonstrated on some real-world infrared and visible images.
Об авторах
Yu. Vizil’ter
State Scientific Research Institute of Aviation Systems (GosNIIAS)
Email: MLebedev@gosniias.ru
Россия, Moscow, 125319
O. Vygolov
State Scientific Research Institute of Aviation Systems (GosNIIAS)
Email: MLebedev@gosniias.ru
Россия, Moscow, 125319
D. Komarov
State Scientific Research Institute of Aviation Systems (GosNIIAS)
Email: MLebedev@gosniias.ru
Россия, Moscow, 125319
M. Lebedev
State Scientific Research Institute of Aviation Systems (GosNIIAS)
Автор, ответственный за переписку.
Email: MLebedev@gosniias.ru
Россия, Moscow, 125319
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