These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
243 related articles for article (PubMed ID: 33651690)
1. RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing. Zhao S; Zhang L; Shen Y; Zhou Y IEEE Trans Image Process; 2021; 30():3391-3404. PubMed ID: 33651690 [TBL] [Abstract][Full Text] [Related]
2. Priors-assisted dehazing network with attention supervision and detail preservation. Yi W; Dong L; Liu M; Hui M; Kong L; Zhao Y Neural Netw; 2024 May; 173():106165. PubMed ID: 38340469 [TBL] [Abstract][Full Text] [Related]
3. Deep Dehazing Network With Latent Ensembling Architecture and Adversarial Learning. Li Y; Liu Y; Yan Q; Zhang K IEEE Trans Image Process; 2021; 30():1354-1368. PubMed ID: 33332267 [TBL] [Abstract][Full Text] [Related]
4. Fusion of Heterogeneous Adversarial Networks for Single Image Dehazing. Park J; Han DK; Ko H IEEE Trans Image Process; 2020 Feb; ():. PubMed ID: 32142439 [TBL] [Abstract][Full Text] [Related]
5. BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing. Wu Y; Tao D; Zhan Y; Zhang C IEEE Trans Image Process; 2022; 31():6635-6648. PubMed ID: 36256710 [TBL] [Abstract][Full Text] [Related]
6. Self-guided disentangled representation learning for single image dehazing. Jia T; Li J; Zhuo L; Zhang J Neural Netw; 2024 Apr; 172():106107. PubMed ID: 38232424 [TBL] [Abstract][Full Text] [Related]
7. Single image mixed dehazing method based on numerical iterative model and DehazeNet. Jiao W; Jia X; Liu Y; Jiang Q; Sun Z PLoS One; 2021; 16(7):e0254664. PubMed ID: 34329312 [TBL] [Abstract][Full Text] [Related]
10. Detection-Friendly Dehazing: Object Detection in Real-World Hazy Scenes. Li C; Zhou H; Liu Y; Yang C; Xie Y; Li Z; Zhu L IEEE Trans Pattern Anal Mach Intell; 2023 Jul; 45(7):8284-8295. PubMed ID: 37018582 [TBL] [Abstract][Full Text] [Related]
11. Using Whale Optimization Algorithm and Haze Level Information in a Model-Based Image Dehazing Algorithm. Hsieh CH; Chen ZY; Chang YH Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679610 [TBL] [Abstract][Full Text] [Related]
12. Residual Spatial and Channel Attention Networks for Single Image Dehazing. Jiang X; Zhao C; Zhu M; Hao Z; Gao W Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883928 [TBL] [Abstract][Full Text] [Related]
13. Vision Transformers for Single Image Dehazing. Song Y; He Z; Qian H; Du X IEEE Trans Image Process; 2023 Mar; PP():. PubMed ID: 37030760 [TBL] [Abstract][Full Text] [Related]
14. Depth-Aware Unpaired Video Dehazing. Yang Y; Guo CL; Guo X IEEE Trans Image Process; 2024; 33():2388-2403. PubMed ID: 38517716 [TBL] [Abstract][Full Text] [Related]
15. Automating a Dehazing System by Self-Calibrating on Haze Conditions. Ngo D; Lee S; Lee GD; Kang B Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640693 [TBL] [Abstract][Full Text] [Related]
16. SIDE-A Unified Framework for Simultaneously Dehazing and Enhancement of Nighttime Hazy Images. He R; Guo X; Shi Z Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32947978 [TBL] [Abstract][Full Text] [Related]
17. Semi-Supervised Domain Alignment Learning for Single Image Dehazing. Dong Y; Li Y; Dong Q; Zhang H; Chen S IEEE Trans Cybern; 2023 Nov; 53(11):7238-7250. PubMed ID: 36445999 [TBL] [Abstract][Full Text] [Related]
18. Physical-model guided self-distillation network for single image dehazing. Lan Y; Cui Z; Su Y; Wang N; Li A; Han D Front Neurorobot; 2022; 16():1036465. PubMed ID: 36531917 [TBL] [Abstract][Full Text] [Related]
19. Unsupervised Bidirectional Contrastive Reconstruction and Adaptive Fine-Grained Channel Attention Networks for image dehazing. Sun H; Wen Y; Feng H; Zheng Y; Mei Q; Ren D; Yu M Neural Netw; 2024 Aug; 176():106314. PubMed ID: 38669785 [TBL] [Abstract][Full Text] [Related]
20. Visual-quality-driven unsupervised image dehazing. Yang A; Liu Y; Wang J; Li X; Cao J; Ji Z; Pang Y Neural Netw; 2023 Oct; 167():1-9. PubMed ID: 37598543 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]