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Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_10openalex-snapshot
Single Image Dehazing via Multi-scale Convolutional Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot
Indoor Segmentation and Support Inference from RGBD Images
inferredcites →https://doi.org/10.1109/cvpr.2003.1211354openalex-snapshot
High-accuracy stereo depth maps using structured light
inferredcites →https://doi.org/10.1109/cvpr.2008.4587643openalex-snapshot
Visibility in bad weather from a single image
inferredcites →https://doi.org/10.1109/cvpr.2014.383openalex-snapshot
Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing
inferredcites →https://doi.org/10.1109/cvpr.2015.7298655openalex-snapshot
SUN RGB-D: A RGB-D scene understanding benchmark suite
inferredcites →https://doi.org/10.1109/cvpr.2016.182openalex-snapshot
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot
The Cityscapes Dataset for Semantic Urban Scene Understanding
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00343openalex-snapshot
Gated Fusion Network for Single Image Dehazing
inferredcites →https://doi.org/10.1109/iccv.2017.511openalex-snapshot
AOD-Net: All-in-One Dehazing Network
inferredcites →https://doi.org/10.1109/sibgrapi.2017.64openalex-snapshot
DeepDive: An End-to-End Dehazing Method Using Deep Learning
inferredcites →https://doi.org/10.1109/tip.2015.2446191openalex-snapshot
A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior
inferredcites →https://doi.org/10.1109/tip.2016.2598681openalex-snapshot
DehazeNet: An End-to-End System for Single Image Haze Removal
inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-snapshot
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
inferredcites →https://doi.org/10.1109/tip.2018.2867951openalex-snapshot
Benchmarking Single-Image Dehazing and Beyond
inferredcites →https://doi.org/10.1109/tpami.2010.168openalex-snapshot
Single Image Haze Removal Using Dark Channel Prior
inferredcites →https://doi.org/10.1109/tpami.2015.2505283openalex-snapshot
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Transmission Map Estimation Function to Prevent Over-Saturation in Single Image Dehazing
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Single Image Dehazing Through Feed Forward Artificial Neural Network
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Hybrid Machine Learning System for Recognizing Vehicle Number Plates in Hazy Environments is Utilized for Safety and Security at Tourist Destinations
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Image Restoration via Atmospheric Scattering Models and Deep Learning Techniques
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A Comparative Study on Single Image Dehazing Using Convolutional Neural Network
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Underwater Image Enhancement Using Sequentially Connected Color Correction and Perceptual Enhancement Networks
inferred← citeshttps://doi.org/10.1007/978-981-96-6060-5_27openalex-snapshot
HazeGAN—Realtime Image Dehazing
inferred← citeshttps://doi.org/10.1007/978-981-97-2011-8_2openalex-snapshot
Modified Transmission Map Estimation Function
inferred← citeshttps://doi.org/10.1007/978-981-97-2011-8_3openalex-snapshot
Compact Single Image Dehazing Network
inferred← citeshttps://doi.org/10.1007/978-981-97-2011-8_5openalex-snapshot
Image Dehazing Using Type-2 Fuzzy Approach
inferred← citeshttps://doi.org/10.1007/s00034-024-02837-5openalex-snapshot
SWAM-Net$$+$$: Selective Wavelet Attentive M-Network$$+$$ for Single Image Dehazing
inferred← citeshttps://doi.org/10.1007/s00138-021-01173-xopenalex-snapshot
DCNet: Dark Channel Network for single-image dehazing
inferred← citeshttps://doi.org/10.1007/s00371-021-02117-2openalex-snapshot
An intelligent framework for transmission map estimation in image dehazing using total variation regularized low-rank approximation
inferred← citeshttps://doi.org/10.1007/s00371-022-02536-9openalex-snapshot
GANID: a novel generative adversarial network for image dehazing
inferred← citeshttps://doi.org/10.1007/s00371-022-02694-wopenalex-snapshot
A novel contrast and saturation prior for image dehazing
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Subspace-guided GAN for realistic single-image dehazing scenarios
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Video and image quality enhancement using an enhanced lower bound on transmission map dehazing technique
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Quality enhancement of near-infrared and visible videos using an optimized dehazing technique
inferred← citeshttps://doi.org/10.1007/s10586-024-05047-5openalex-snapshot
High quality dehazed image and video based on enhanced multi-scale guided filtering dehazing technique
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CSIDNet: Compact single image dehazing network for outdoor scene enhancement
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Image dehazing via gradient response and bright region adjustment
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Enhancing visual clarity in hazy media: a comprehensive approach through preprocessing and feature fusion attention-based dehazing
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Enhanced Modified Contrast Enhancement and Exposure Fusion: a visionary dehazing approach for clarity in hazy imagery
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Enhanced DehazeFormer: an image and video haze removal method based on SwinTransformer for superior quality
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DehazeFormer: a swintransformer-based approach for high-quality haze removal in images and videos
inferred← citeshttps://doi.org/10.1007/s11045-020-00723-2openalex-snapshot
An end-to-end dehazing network with transitional convolution layer
inferred← citeshttps://doi.org/10.1007/s11063-020-10262-3openalex-snapshot
Global Exponential Stability of Hybrid Non-autonomous Neural Networks with Markovian Switching
inferred← citeshttps://doi.org/10.1007/s11227-025-07429-xopenalex-snapshot
Kacformer: a hybrid CNN–transformer framework for image dehazing via knowledge transfer
inferred← citeshttps://doi.org/10.1007/s11554-021-01143-6openalex-snapshot
Improved single image dehazing methods for resource-constrained platforms
inferred← citeshttps://doi.org/10.1007/s11760-023-02877-5openalex-snapshot
DC-GAN with feature attention for single image dehazing
inferred← citeshttps://doi.org/10.1007/s11831-022-09755-2openalex-snapshot
A Comprehensive Review on Analysis and Implementation of Recent Image Dehazing Methods
inferred← citeshttps://doi.org/10.1007/s13042-022-01753-xopenalex-snapshot
Progressive image dehazing network based on dual feature extraction modules
inferred← citeshttps://doi.org/10.1007/s42979-021-00912-1openalex-snapshot
Single Image Dehazing and Non-uniform Illumination Enhancement: A Z-Score Approach
inferred← citeshttps://doi.org/10.1007/s42979-025-04623-9openalex-snapshot
A Deep Dive into CNN-Driven Image Dehazing Techniques
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105672openalex-snapshot
Nonhomogeneous haze removal for visual perception in construction scenes
inferred← citeshttps://doi.org/10.1016/j.cosrev.2022.100473openalex-snapshot
Visibility enhancement and dehazing: Research contribution challenges and direction
inferred← citeshttps://doi.org/10.1016/j.cviu.2020.103133openalex-snapshot
ICycleGAN: Single image dehazing based on iterative dehazing model and CycleGAN
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WMCP-EM: An integrated dehazing framework for visibility restoration in single image
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MUNet++: Multilevel wavelet nested UNet++ demoiréing residual network
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MWA-MNN: Multi-patch Wavelet Attention Memristive Neural Network for image restoration
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A GAN-based input-size flexibility model for single image dehazing
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SES-ReNet: Lightweight deep learning model for human detection in hazy weather conditions
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MA-MNN: Multi-flow attentive memristive neural network for multi-task image restoration
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Incorporating inconsistent auxiliary images in haze removal of very high resolution images
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AMSFF-Net: Attention-Based Multi-Stream Feature Fusion Network for Single Image Dehazing
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Development and performance evaluation of enhanced image dehazing method using deep learning networks
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A region-adaptive hybrid framework for single image dehazing using channel priors and retinex analysis
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No-reference quality evaluation of realistic hazy images via singular value decomposition
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Online knowledge distillation network for single image dehazing
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ODD-Net: a hybrid deep learning architecture for image dehazing
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MCRFS-Net: single image dehazing based on multi-scale contrastive regularization and frequency selection
inferred← citeshttps://doi.org/10.1049/htl.2019.0095openalex-snapshot
Endoscopic video defogging using luminance blending
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Vehicle license plate recognition for fog‐haze environments
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Adaptive Convolutional Strategy for Robust Image Dehazing in Diverse Environments
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An overview of Image Dehazing Algorithms
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A unified deep learning framework for image dehazing
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MF-MSCNN: Multi-Feature based Multi-Scale Convolutional Neural Network for Image Dehazing via Input Transformation
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Vision Unveiling Through End-to-End Barur-Net Approach
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Dark channel prior in low frequency domain for time-efficient single image dehazing
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Research on Power Inspection Image Defogging Method Based on Multilevel Feature Fusion Network
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Nighttime Single Image Dehazing via Pixel-Wise Alpha Blending
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VLSI Implementation for an Adaptive Haze Removal Method
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Deep Residual Haze Network for Image Dehazing and Deraining
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Multilevel Image Dehazing Algorithm Using Conditional Generative Adversarial Networks
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Integrating Haze Density Features for Fast Nighttime Image Dehazing
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FIBS-Unet: Feature Integration and Block Smoothing Network for Single Image Dehazing
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Sky Imager Data Reduction Using Autoencoder and Internet of Things Computing
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Improving Semantic Segmentation Under Hazy Weather for Autonomous Vehicles Using Explainable Artificial Intelligence and Adaptive Dehazing Approach
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A Review on Image Dehazing Algorithms for Vision based Applications in Outdoor Environment
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FR-HDNet: Faster RCNN based Haze Detection Network for Image Dehazing
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An Empirical Review on Image Dehazing Techniques for Change Detection of Land Cover
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Consolidated Adversarial Network for Video De-raining and De-hazing
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Image Dehazing based on Multi-scale Feature Fusion under Attention Mechanism
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MAXIM: Multi-Axis MLP for Image Processing
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Efficient Image Dehazing Using an Encoder-Decoder Network with Residual Learning
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Encoder-Recurrent Decoder Network for Single Image Dehazing
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A Comparative Analysis of Image Dehazing using Image Processing and Deep Learning Techniques
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Channel Splitting Network for Single Image Dehazing
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Dehazing Attention GAN: Channel-Spatial U-Net Architecture for Robust Image Dehazing and Object Detection
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Image Dehazing With Contextualized Attentive U-NET
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TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security
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Single Image Dehazing via Semi-Supervised Domain Translation and Architecture Search
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Multiscale Supervision-Guided Context Aggregation Network for Single Image Dehazing
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Edge Aware Network for Image Dehazing
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A Novel Simulation for Polarization Dehazing
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Hazing or Dehazing: the big dilemma for object detection
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Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration
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Budget-Aware Road Semantic Segmentation in Unseen Foggy Scenes
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HU-Net: A Hybrid U-Net for Single Image Dehazing Using Composite Attention Module
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Morphological Map based Single Image Defogging
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Dehazing Underwater Images Using Encoder Decoder Based Generic Model-Agnostic Convolutional Neural Network
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Neuromorphic Vision Restoration Network for Advanced Driver Assistance System
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Dense Haze Removal by Nonlinear Transformation
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Reference-Based Image Dehazing With Internal and External Contrastive Learning
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Estimating Depth and Global Atmospheric Light for Image Dehazing Using Type-2 Fuzzy Approach
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A Global Self-Attention Memristive Neural Network for Image Restoration
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Real-World Remote Sensing Image Dehazing: Benchmark and Baseline
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Single Image Dehazing via Fusion of Multilevel Attention Network for Vision-Based Measurement Applications
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Efficient Method and Architecture for Real-Time Video Defogging
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Single Image Dehazing Method Based on Gradient Matrix and Ternary Parameter Search
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Effective dehazing of night‐time images using open dark channel prior and wavelet transform
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Hazy Input Upgradation and Multi-Feature Fusion-based Multi-Scale Residual Neural Network for Haze Removal
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A BLENDED DEEP LEARNING APPROACH FOR OUTDOOR SCENE IMAGE ENHANCEMENT
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Improving DCP Haze Removal Scheme by Parameter Setting and Adaptive Gamma Correction
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Single image dehazing using attention layers in convolutional neural networks
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Traffic image haze removal based on optimized retinex model and dark channel prior
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Traffic image dehazing based on sky region segmentation and transmittance optimization
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Atmosclear (Ai-Ml De-Haze/De-Smoking Algorithm)
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Attention-Gate-Based Model with Inception-like Block for Single-Image Dehazing
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A Two-Stage Method for Aerial Tracking in Adverse Weather Conditions
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Photo-Realistic Image Dehazing and Verifying Networks via Complementary Adversarial Learning
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Using Whale Optimization Algorithm and Haze Level Information in a Model-Based Image Dehazing Algorithm
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Dark-Channel Soft-Constrained and Object-Perception-Enhanced Deep Dehazing Networks Used for Road Inspection Images
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Analysis of the Generalization Ability of Defogging Algorithms on RICE Remote Sensing Images
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