An improved pix2pix generative adversarial networks for sand-dust image enhancement
Author:
Funder
Shanghai Municipal Science and Technology Major Project
Natural Science Foundation of Jiangxi Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03237-7.pdf
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4. Cheng, Y., Jia, Z., Lai, H., Yang, J., Kasabov, N.K.: A fast sand-dust image enhancement algorithm by blue channel compensation and guided image filtering. IEEE Access 8, 196690–196699 (2020)
5. Engin, D., Genç, A., Kemal Ekenel, H.: Cycle-dehaze: Enhanced cyclegan for single image dehazing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 825–833 (2018)
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