UIEDP: Boosting underwater image enhancement with diffusion prior
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Published:2025-01
Issue:
Volume:259
Page:125271
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ISSN:0957-4174
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Container-title:Expert Systems with Applications
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language:en
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Short-container-title:Expert Systems with Applications
Author:
Du DazhaoORCID,
Li Enhan,
Si Lingyu,
Zhai Wenlong,
Xu FanjiangORCID,
Niu JianweiORCID,
Sun Fuchun
Reference57 articles.
1. Akkaynak, D., & Treibitz, T. (2019). Sea-thru: A method for removing water from underwater images. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 1682–1691).
2. Color balance and fusion for underwater image enhancement;Ancuti;IEEE Transactions on Image Processing,2017
3. Enhancing underwater images and videos by fusion;Ancuti,2012
4. Avrahami, O., Lischinski, D., & Fried, O. (2022). Blended Diffusion for Text-Driven Editing of Natural Images. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 18208–18218).
5. Domain adaptation for underwater image enhancement via content and style separation;Chen;IEEE Access,2022