dehaze
There are 2 repositories under dehaze topic.
RQ-Wu / RIDCP_dehazing
[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
Language:Python 191jinyeying / FogRemoval
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061
Language:Python 142fingerk28 / Two-stage-Knowledge-For-Multiple-Adverse-Weather-Removal
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
Language:Python 132JunlinHan / BID
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.
Language:Python 112JuZiSYJ / ncnn-picture-enhancement
a dehaze / picture enhancement demo using ncnn
Language:C++ 47VITA-Group / dehaze
[Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"
Language:C++ 47lj1995-computer-vision / Trident-Dehazing-Network
NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.
Language:Cuda 46kindraywind / SingleImageHazeRemover
A Python2 implementation of single image haze removal
Language:Python 44nnUyi / Low-Level-Vision-Zoo
A low-level vision zoo for dehazing, deblurring, denoising, deraining, inpainting, color enhancement, brightening, and super resolution .
Seanforfun / GMAN_Net_Haze_Removal
Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network
Language:Python 39- Language:Python 33
weitingchen83 / Dehazing-PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal-TIP-2020
This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.
Language:Python 28This is the project page of our paper which has been published in ECCV 2020.
Language:Python 26DCLAB08 / Real-Time-Image-Video-Dehazing
The Final Project of team 8, NTUEE, Digital Circuits Lab (2021 Fall)
Language:Verilog 25fourson / Learning-to-dehaze-with-polarization
NeurIPS 2021 paper: Learning to Dehaze with Polarization
Language:Python 23- Language:C++ 22
yenshih / Dehaze
A cross-platform image dehazing/defogging mobile app implemented with React Native, Djinni and OpenCV, based on dark channel prior and fast guided filter.
Language:C++ 21This is the source code of PMS-Net: Robust Haze Removal Based on Patch Map for Single Images which has been published in CVPR 2019 Long Beach
Language:Python 19SiyuanYan1 / Transmission-BVM
Dataset and code of our AAAI2022 paper "Transmission-Guided Bayesian Generative Model for Smoke Segmentation"
Language:Python 18JoongcholShin / RRO-Dehazing
Radiance-Reflectance Combined Optimization and Structure-Guided L0-Norm for Single Image Dehazing
Language:MATLAB 15- Language:Python 15
- Language:C++ 11
raven-dehaze-work / DCP-Dehaze
Implementation of Dark Channel Fog Removal Algorithms with MATLAB
Language:MATLAB 10lizhangray / TGL-Net
Lightweight and Efficient Image Dehazing Network Guided by Transmission Estimation from Real-world Hazy Scenes; accepted by Sensors 2021, 21(3), 960, MDPI; https://doi.org/10.3390/s21030960
Language:Python 9ZQPei / Haze_Removal_python
This is an python implementation of "single image haze removal using dark channel prior"
Language:Python 9- Language:Python 4
- Language:Cuda 4
jh27kim / Classification-prior-to-Restoration
Weather image noise (rain, snow, haze) removal with classificatio
Language:Python 3- Language:Python 3
- Language:Python 3
ShadyZOZ / haze-removal
Single Image Haze Removal Using Dark Channel Prior
Language:HTML 2delldu / BeyondFilter
How to use modern deep learning framework instead of tradition image digit process ?
Language:Python 1JaimeCarpintero / MoiraDehazer
Dark Channel Prior Dehazing implementation for IOS using Swift 5
Language:Swift 1- Language:Python 1
nazli-d / goruntu-isleme-algoritmalari
In this Project, important algorithms such as Canny Edge Detection, Harris Corner Detection, Segmentation, and Dehazing are utilized. These algorithms perform operations like detecting edges and corners in images, segmenting different regions, and enhancing foggy or blurred images.
Language:Python 1
