Thermal image enhancement for adverse weather scenarios: a wavelet transform and histogram clipping approach
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03298-8.pdf
Reference34 articles.
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2. Tirupathamma, M., Niranjan, V.: Principles and applications of infrared thermal imaging. Telecommun. Radio Eng. 79, 13 (2020). https://doi.org/10.1615/TelecomRadEng.v79.i13.70
3. Wilson, A.N., et al.: Recent advances in thermal imaging and its applications using machine learning: a review. IEEE Sens. J. 23(4), 3395–3407 (2023)
4. Soundrapandiyan, R., et al.: A comprehensive survey on image enhancement techniques with special emphasis on infrared images. Multim. Tools Appl. 81, 1–33 (2021). https://doi.org/10.1007/s11042-021-11250-y
5. Rivera Velázquez, J.M., Khoudour, L., Saint Pierre, G., Duthon, P., Liandrat, S., Bernardin, F., Peleg, R.: Analysis of thermal imaging performance under extreme foggy conditions: applications to autonomous driving. J. Imaging 8(11), 306 (2022)
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