# Denoising Multiscale Back-Projection Feature Fusion for Underwater Image Enhancement
## 6 Conclusions
(2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map. _IEEE Trans. Broadcast._**2020**, _66_, 153-169. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction. _Int. J. Comput. Vis._**2023**. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] A deep CNN method for underwater image enhancement. In Proceedings of the IEEE International Conference on Image Processing, Beijing, China, 17-20 September 2017; pp. 1382-1386. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] An Underwater Image Enhancement Benchmark Dataset and Beyond. _IEEE Trans. Image Process._**2020**, _29_, 4376-4389. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] [PERSON] Shallow-UWnet: Compressed Model for Underwater Image Enhancement (Student Abstract). In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual Event, 2-9 February 2021 ; pp. 15853-15854. * [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Underwater Image Enhancement Via Learning Water Type Desensitized Representations. In Proceedings of the ICASSP 2022, Virtual and Singapore, 23-27 May 2022; pp. 2764-2768. * [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] Structure-Inferred Bi-level Model for Underwater Image Enhancement. In Proceedings of the MM '22: The 30 th ACM International Conference on Multimedia, Lisboa, Portugal, 10-14 October 2022; pp. 2286-2295. * [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] UGIF-Net: An Efficient Fully Guided Information Flow Network for Underwater Image Enhancement. _IEEE Trans. Geosci. Remote Sens._**2023**, _61_, 1-17. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON] Multi-view underwater image enhancement method via embedded fusion mechanism. _Eng. Appl. Artif. Intell._**2023**, _121_, 105946. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Enhancing underwater imagery using generative adversarial networks. In Proceedings of the IEEE International Conference on Robotics and Automation, Brisbane, Australia, 21-25 May 2018. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] WaterGAN: Unsupervised generative network to enable real-time color correction of monocular underwater images. _IEEE Robot. Autom. Lett._**2018**, \(3\), 387-394. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] Fast Underwater Image Enhancement for Improved Visual Perception. _IEEE Robot. Autom. Lett._**2020**, \(5\), 3227-3234. [CrossRef]
* [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement. _Int. J. Comput. Vis._**2024**. [CrossRef]
* [PERSON] and [PERSON] (1993) [PERSON]; [PERSON] [PERSON] Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency. _J. Vis. Commun. Image Represent._**1993**, \(4\), 324-335. [CrossRef]
* [PERSON] et al. (2007) [PERSON]; [PERSON]; [PERSON]; [PERSON] Bilateral Back-Projection for Single Image Super Resolution. In Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007, IEEE Computer Society, Beijing, China, 2-5 July 2007; pp. 1039-1042. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Iterative projection reconstruction for fast and efficient image upsampling. _Neurocomputing_**2017**, _226_, 200-211. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] Deep Back-Projection Networks for Single Image Super-Resolution. _IEEE Trans. Pattern Anal. Mach. Intell._**2021**, _43_, 4323-4337. [CrossRef] [PubMed]* _[PERSON] et al.