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Specific environmentVersion number
Operating systemUbuntu 22.04 LTS
Python3.11.9
CUDA11.8 / 12.1
CUDNN8.9.2
Torch2.0.1+cu118
Torchvision0.15.2+cu118
Timm0.9.2
OpenCV-Python4.7.0.72
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Hardware nameInformation
Server platformASUS ESC8000-E11 (Barebones)
Processor (CPU)Intel Xeon 8475C 3.80 GHz 52 Cores * 2
memory512GB
Graphics Card (GPU)Nvidia GeForce RTX 3090 Graphics Card 24 GB * 8
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Algorithm namePublication timeLiterature sourcesOpen source statusCore mechanism and characteristics
DCP2009CVPR / TPAMIisPhysical priors: Based on the theory of dark channel prior, dehaze through statistical laws. Early CNNs: Learning transmittance maps through convolutional neural networks is an early exploration of deep learning dehazing. Lightweight CNN: Admits an end-to-end parameter generation (K-estimation) module for lightweight models and fast inference.
DehazeNet2016IEEE TIPis
AOD-Net2017ICCVisGAN: Based on generative adversarial networks, including enhancers and discriminators, improve visual quality through adversarial learning. Attention mechanism: Combine feature fusion with pixel/channel attention to enhance feature extraction capabilities.
EPDN2019CVPRis
FFA-Net2020AAAIisMulti-scale: Utilize multi-scale enhancement and dense feature fusion technology to process image information at different frequencies.
MSBDN2020CVPRis
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RIDCP2023CVPRisReal-world scenarios: Flow-based prior learning is optimized for real foggy scenarios. Hybrid architecture: Combining the advantages of CNNs and transformers, utilizing multi-dimensional attention mechanisms, is the current SOTA approach.
MixDehazeNet2024CVPRis
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MethodsPSNR ↑SSIM ↑NIQE ↓RI ↑VI ↑
DCP (CVPR 2009)18.450.7623.5120.9210.754
DehazeNet (TIP 2016)22.180.8243.1050.9350.789
AOD-Net (ICCV 2017)20.550.8133.2240.930.762
EPDN (CVPR 2019)23.460.8652.9560.9410.815
FFA-Net (AAAI 2020)27.850.9422.5180.9620.882
MSBDN (CVPR 2020)26.980.9352.6450.9580.872
RIDCP (CVPR 2023)28.150.9452.4120.9550.875
MixDehazeNet (CVPR 2024)28.560.9522.3850.9590.878
Yun-Trans (Proposed)28.920.8462.3050.9310.885
" }, { "type": "text", "bbox": [ 0.146, 0.838, 0.85, 0.912 ], "angle": 0, "content": null, "merge_prev": false }, { "type": "ocr_text", "bbox": [ 0.187, 0.838, 0.842, 0.859 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.148, 0.866, 0.832, 0.885 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.146, 0.894, 0.851, 0.912 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.328, 0.625, 0.673, 0.641 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.475, 0.595, 0.525, 0.617 ], "text": "", "score": 1.0 } ], [ { "type": "text", "bbox": [ 0.145, 0.091, 0.856, 0.248 ], "angle": 0, "content": null, "merge_prev": false }, { "type": "table_caption", "bbox": [ 0.25, 0.259, 0.748, 0.274 ], "angle": 0, "content": null }, { "type": "table", "bbox": [ 0.146, 0.277, 0.851, 0.468 ], "angle": 0, "content": "
MethodsPSNR ↑SSIM ↑NIQE ↓RI ↑VI ↑
DCP (CVPR 2009)16.830.7093.8070.9080.733
DehazeNet (TIP 2016)20.760.7853.4790.9240.767
AOD-Net (ICCV 2017)19.340.7623.5740.9180.745
EPDN (CVPR 2019)21.810.8293.1860.9330.798
FFA-Net (AAAI 2020)26.180.9192.7050.9530.859
MSBDN (CVPR 2020)25.430.9092.8290.9490.848
RIDCP (CVPR 2023)26.700.9252.6140.9450.86
MixDehazeNet (CVPR 2024)27.360.8852.5710.9540.868
Yun-Trans (Proposed)27.520.9352.4850.9350.878
" }, { "type": "text", "bbox": [ 0.145, 0.472, 0.854, 0.658 ], "angle": 0, "content": null, "merge_prev": false }, { "type": "table_caption", "bbox": [ 0.286, 0.667, 0.714, 0.685 ], "angle": 0, "content": null }, { "type": "table", "bbox": [ 0.146, 0.687, 0.851, 0.876 ], "angle": 0, "content": "
Algorithm name (source & year)PSNR ↑SSIM ↑NIQE ↓RI ↑VI ↑
DCP (CVPR 2009)15.20.6554.1020.8950.712
DehazeNet (TIP 2016)19.340.7453.8530.9120.745
AOD-Net (ICCV 2017)18.120.713.9230.9050.728
EPDN (CVPR 2019)20.150.7923.4150.9250.78
FFA-Net (AAAI 2020)24.50.8952.8920.9450.835
MSBDN (CVPR 2020)23.880.8823.0120.940.823
RIDCP (CVPR 2023)25.250.9052.8150.9350.845
MixDehazeNet (CVPR 2024)26.150.9182.7560.9480.858
Yun-Trans (Proposed)25.800.9253.0320.9380.868
" }, { "type": "table_footnote", "bbox": [ 0.146, 0.881, 0.851, 0.898 ], "angle": 0, "content": null }, { "type": "ocr_text", "bbox": [ 0.287, 0.667, 0.713, 0.684 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.148, 0.091, 0.851, 0.11 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.148, 0.119, 0.804, 0.139 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.149, 0.148, 0.856, 0.165 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.15, 0.175, 0.823, 0.193 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.148, 0.202, 0.77, 0.223 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.149, 0.232, 0.455, 0.25 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.252, 0.259, 0.748, 0.275 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.15, 0.473, 0.851, 0.49 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.15, 0.5, 0.851, 0.519 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.148, 0.528, 0.852, 0.547 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.148, 0.556, 0.854, 0.574 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.146, 0.583, 0.852, 0.602 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.148, 0.611, 0.852, 0.631 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.149, 0.639, 0.678, 0.658 ], "text": "", "score": 1.0 }, { "type": "ocr_text", "bbox": [ 0.146, 0.879, 0.854, 0.901 ], "text": "", "score": 1.0 } ], [ { "type": "text", "bbox": [ 0.145, 0.091, 0.854, 0.248 ], "angle": 0, "content": null, "merge_prev": false }, { "type": "table_caption", "bbox": [ 0.251, 0.259, 0.747, 0.274 ], "angle": 0, "content": null }, { "type": "table", "bbox": [ 0.146, 0.277, 0.851, 0.468 ], "angle": 0, "content": "
MethodsPSNR ↑SSIM ↑NIQE ↓RI ↑VI ↑
DCP (CVPR 2009)13.670.5844.6540.8740.668
DehazeNet (TIP 2016)17.850.6864.3030.8980.715
AOD-Net (ICCV 2017)16.780.6534.4180.8890.693
EPDN (CVPR 2019)19.300.7393.7730.9140.748
FFA-Net (AAAI 2020)22.310.8423.2280.9340.835
MSBDN (CVPR 2020)21.770.8593.3690.9280.784
RIDCP (CVPR 2023)23.220.8743.0130.9320.815
MixDehazeNet (CVPR 2024)24.000.8793.0030.9420.828
Yun-Trans (Proposed)24.180.8623.0120.9450.845
" }, { "type": "text", "bbox": [ 0.145, 0.473, 0.832, 0.658 ], "angle": 0, "content": null, "merge_prev": false }, { "type": "table_caption", "bbox": [ 0.269, 0.668, 0.726, 0.683 ], "angle": 0, "content": null }, { "type": "table", "bbox": [ 0.146, 0.687, 0.851, 0.878 ], "angle": 0, "content": "
MethodsPSNR ↑SSIM ↑NIQE ↓RI ↑VI ↑
DCP (CVPR 2009)12.130.5125.2050.8530.623
DehazeNet (TIP 2016)16.250.6264.7530.8830.685
AOD-Net (ICCV 2017)15.430.5954.9130.8720.651
EPDN (CVPR 2019)17.850.6854.1250.8950.715
FFA-Net (AAAI 2020)20.120.7853.5640.9150.764
MSBDN (CVPR 2020)19.650.8353.7250.9160.745
RIDCP (CVPR 2023)21.150.8423.2100.9280.785
MixDehazeNet (CVPR 2024)21.850.8403.2500.9350.798
Yun-Trans (Proposed)22.450.7683.1570.9480.815
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SceneIndexOri ImageDCPDehaze NetAOD-NetEPDNFFA-NetMSBDNRIDCPMix-De hazeNetOur-Dehaze
MildmIoU78.5872.1581.2380.5582.483.1482.9585.8386.1286.35
mDice88.8784.2489.5889.1490.2590.8590.6592.5692.8592.95
Mild to moderatemIoU68.2475.4376.8975.2578.5481.2780.9882.5883.8583.10
mDice79.5385.6686.4485.1687.8489.5989.2290.4391.2590.80
ModeratemIoU52.4566.8768.5267.2370.4575.6274.8378.2579.5580.43
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SceneIndexOri ImageDCPDehaze NetAOD-NetEPDNFFA-NetMSBDNRIDCPMix-De hazeNetOur-Dehaze
Moderate to severemDice66.8379.5380.6679.8382.1485.4384.9387.6188.5289.16
mIoU44.0660.5662.7161.3465.0170.7369.6974.3476.6576.50
mDice59.0674.7176.1375.0377.9181.8581.2285.0586.2387.20
SeveremIoU35.6654.2556.8955.4559.5765.8364.5470.5872.8474.15
mDice51.2869.8971.5370.2373.6878.2677.5082.4983.9484.88
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IndicatorsControl group (usual operation)Intelligent Defogging Group\n(Algorithms Processing)
Smoke impact/duration8 ~ 17 min (median 13)0.01 ~ 0.04 min (median 0.02)
Number of shots \nwiped/processed3 ~ 11 times (median 6)-
Each processing is \ntime-consuming9 ~ 21 s (Median 15)0.01 s (single frame)
Total processing is \ntime-consuming69 ~ 230 s (median 141)-
P-value< 0.05
IndicatorsControl group (usual operation)Intelligent Defogging Group\n(Algorithms Processing)
Smoke impact/duration8 ~ 17 min (median 13)0.01 ~ 0.04 min (median 0.02)
Number of shots \nwiped/processed3 ~ 11 times (median 6)-
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