Multi-scale Fusion Underwater Image Enhancement Using Dark Channel Prior and Guided Filtering
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5597-4_28
Reference29 articles.
1. Liu, R., Fan, X., Zhu, M., et al.: Real-world underwater enhancement: challenges, benchmarks, and solutions under natural light. IEEE Trans. Circuits Syst. Video Technol. 30(12), 4861–4875 (2020)
2. Goyal, V., Shukla, A.: An enhancement of underwater images based on contrast restricted adaptive histogram equalization for image enhancement. In: Tiwari, S., Trivedi, M.C., Mishra, K.K., Misra, A.K., Kumar, K.K., Suryani, E. (eds.) Smart Innovations in Communication and Computational Sciences: Proceedings of ICSICCS 2020, pp. 275–285. Springer Singapore, Singapore (2021). https://doi.org/10.1007/978-981-15-5345-5_25
3. Wong, S.L., Paramesran, R., Taguchi, A.: Underwater image enhancement by adaptive gray world and differential gray-levels histogram equalization. Adv. Electr. Comput. Eng. 18(2), 109–116 (2018)
4. Hou, G., Pan, Z., Huang, B., et al.: Hue preserving-based approach for underwater colour image enhancement. IET Image Proc. 12(2), 292–298 (2018)
5. Peng, L., Li, B.: Single image dehazing based on improved dark channel prior and unsharp masking algorithm. In: Intelligent Computing Theories and Application: 14th International Conference, ICIC 2018, Wuhan, China, August 15–18, 2018, Proceedings, Part I 14. Springer International Publishing, pp. 347–358 (2018). https://doi.org/10.1007/978-3-319-95930-6_32
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