Single Image Dehazing
52 papers with code • 2 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Single Image Dehazing
| Trend | Dataset | Best Model | Paper | Code | Compare |
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O-HAZE
UIEB
RESIDE
I-HAZE
NH-HAZE
D-HAZY
SMOKE
Latest papers
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
In this paper, we introduce WaveDH, a novel and compact ConvNet designed to address this efficiency gap in image dehazing.
Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
On the one hand, the difference perception between the depth maps of the dehazing result and the ideal image is proposed to promote the dehazing network to pay attention to the non-ideal areas of the dehazing.
U-shaped Vision Mamba for Single Image Dehazing
zzr-idam/uvm-net
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Currently, Transformer is the most popular architecture for image dehazing, but due to its large computational complexity, its ability to handle long-range dependency is limited on resource-constrained devices.
Haze Removal via Regional Saturation-Value Translation and Soft Segmentation
The RSVT prior is developed based on two key observations regarding the relationship between hazy and haze-free points in the HSV color space.
Real-world image dehazing with improved joint enhancement and exposure fusion
The visual and quantitative comparisons between the proposed method and state-of-the-art dehazing methods show that the proposed method has better dehazing performance and has a 50% improvement in terms of the FADE metric compared to the closest result.
Fooling the Image Dehazing Models by First Order Gradient
guijiejie/aadn
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In this paper, we focus on designing a group of attack methods based on first order gradient to verify the robustness of the existing dehazing algorithms.
4K-HAZE: A Dehazing Benchmark with 4K Resolution Hazy and Haze-Free Images
The challenges in building ultra-high-definition (UHD) dehazing datasets are the absence of estimation methods for UHD depth maps, high-quality 4K depth estimation datasets, and migration strategies for UHD haze images from synthetic to real domains.
Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
In this paper, we propose a novel curricular contrastive regularization targeted at a consensual contrastive space as opposed to a non-consensual one.
Image Restoration with Mean-Reverting Stochastic Differential Equations
algolzw/image-restoration-sde
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This paper presents a stochastic differential equation (SDE) approach for general-purpose image restoration.
Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal
Few existing image defogging or dehazing methods consider dense and non-uniform particle distributions, which usually happen in smoke, dust and fog.
