Image dehazing algorithm based on artificial multi-exposure image fusion
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15210-6.pdf
Reference15 articles.
1. Fazlali H, Shirani S, McDonald M et al (2020) Aerial image dehazing using a deep convolutional autoencoder. Multimed Tools Appl 79:29493–29511. https://doi.org/10.1007/s11042-020-09383-7
2. Galdran A (2018) Image dehazing by artificial multiple-exposure image fusion. Signal Process 149:135–147
3. He K, Sun J, Tang X (2009) Single image haze removal using dark channel prior. In: Proc. IEEE Conf. Comput. Vis. Pattern Recognit., pp 1956–1963
4. Hore A, Ziou D (2010) Image quality metrics: PSNR vs. SSIM. In: Proc. 20th Int. Conf. Pattern Recognit., pp 2366–2369
5. Huang J, Jiang W, Li L et al (2019) DeeptransMap: a considerably deep transmission estimation network for single image dehazing. Multimed Tools Appl 78:30627–30649. https://doi.org/10.1007/s11042-018-6536-x
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