Image Dehazing
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Benchmarks
SOTS Indoor
SOTS Outdoor
Haze4k
O-Haze
RS-Haze
RESIDE-6K
Dense-Haze
I-Haze
NH-HAZE
KITTI
DNH-HAZE
HD-NH-HAZE
NH-HAZE2
RB-Dust
RESIDE
Most implemented
Contrastive Learning for Compact Single Image Dehazing
GMAN: A Graph Multi-Attention Network for Traffic Prediction
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
MAXIM: Multi-Axis MLP for Image Processing
Improving Image Restoration by Revisiting Global Information Aggregation
Papers
Backbone-Agnostic Stochastic Perturbation Learning for End-to-End Real-World Image Dehazing
Real-world paired image dehazing remains challenging because haze degradation is spatially non-uniform, illumination-dependent, and physically ambiguous even when haze-free references are available. Existing end-to-end r…
Image DehazingRTE-FM-Dehazer: Radiative Transfer Equation Inspired Flow Matching for Real-World Image Dehazing
Single-image dehazing aims to recover a clear scene from a hazy image and is generally formulated as an image-to-image translation task; however, it faces two limitations. Its performance depends heavily on the haze-form…
Image-to-Image TranslationDomain GeneralizationImage DehazingBridging the Gap Between Image Restoration and Navigational Safety in Hazy Conditions: A New Visibility Estimation Metric for Maritime Surveillance
Visibility distance is critical to maritime navigational safety because it determines the effective observation range of shipborne and shore-based monitoring systems. Under hazy conditions, degraded visual information sh…
Image Quality AssessmentImage RestorationObject DetectionImage DehazingTowards UAV Image Dehazing: A UAV Atmospheric Scattering Model, Benchmark, and Geometry-Aware Deep Unfolding Network
In UAV applications, haze significantly obscures distant details and weaken structural information, hindering the recovery of details. Current UAV scenarios still face two key challenges: (i) paired hazy/clean images fro…
Image Dehazing6thGrid-Net: Unified Remote Sensing Image Dehazing Based on Color Restoration and Edge-Preserving
Remote sensing images are frequently degraded by adverse weather conditions, particularly clouds and haze, which severely impair downstream applications. Existing restoration methods typically rely on computationally hea…
Image RestorationImage DehazingIncepDeHazeGAN: Novel Satellite Image Dehazing
Dehazing is a technique in computer vision for enhancing the visual quality of images captured in cloudy or foggy conditions. Dehazing helps to recover clear, high-quality images from haze-affected remote sensing data. I…
Image Dehazing