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Preliminary Study on the Method of Generating Infrared Image Based on CycleGAN

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Proceedings of 2023 Chinese Intelligent Systems Conference (CISC 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1091))

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Abstract

Traditional infrared scene simulation method mainly includes the establishment of 3D geometric model of the target, the establishment of scene radiation model, the relationship mapping between infrared radiation and infrared image gray value and other steps. The whole process is tedious, and contain more calculated parameters. This paper introduce CycleGAN network, draw on its ring network structure and unpaired data or paired data as a training set, realize the advantages of domain image conversion effect, explore the visible light image conversion into corresponding infrared image, solve the problems such as samples in the process of infrared imaging simulation is limited, fidelity is low, and coverage is limited.

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References

  1. Zhao, X.S., Wu, G.S., Zhao, S.Q., Chen, H.Y.: Infrared imaging guidance semi-object simulation target image generation technology. Meas. Control Technol. 32(7), 153–156 (2013)

    Google Scholar 

  2. Xu, C.G.: Design and implementation of Song Liquan infrared complex scene simulation system. Infrared Laser Eng. 34(2), 241–243 (2005)

    MathSciNet  Google Scholar 

  3. Zhang, J., Zhang, J.Q., Shao, X.P.: Infrared scene generation method and implementation based on measurement data. J. Syst. Simul. 17(10), 2399–2402 (2005)

    Google Scholar 

  4. Li, M., Xie, H.W., Xu, F., Xing, Y.H.: A real-time generation method of infrared images based on the temperature difference disturbance of measured data. Infrared Technol. 39(10), 914–919 (2017)

    Google Scholar 

  5. Yan, L.X., Liu, X.H., Li, M., Sima, C.J., Liu Z.P.: Research on the super-resolution algorithm of infrared image power equipment based on generative adversarial network. Commun. Power Supply Technol. 3 (2020)

    Google Scholar 

  6. Goodfellow, I., Pouget-Abadie, J., Mirza, M., et al.: Generative adversarial nets. Adv. Neural Inf. Process. Syst. 27 (2014)

    Google Scholar 

  7. Ma, L., Chen, F., Li, M.: Based on infrared image super-resolution reconstruction of improved generative adversarial networks. Laser and Infrared 2 (2020)

    Google Scholar 

  8. Chen, F.J., Zhu, F., Wu, Q.X., Hao, Y.M., Wang, E.: Infrared image data enhancement based on generative adversarial network. Comput. Appl. 40(7), 2084 (2020)

    Google Scholar 

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Correspondence to Baiping Sun .

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Sun, B., Tong, J., Geng, H. (2023). Preliminary Study on the Method of Generating Infrared Image Based on CycleGAN. In: Jia, Y., Zhang, W., Fu, Y., Wang, J. (eds) Proceedings of 2023 Chinese Intelligent Systems Conference. CISC 2023. Lecture Notes in Electrical Engineering, vol 1091. Springer, Singapore. https://doi.org/10.1007/978-981-99-6886-2_22

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