This project implements a CycleGAN-based method for image dehazing on a paired dataset containing hazy images and their corresponding ground truth clear images.
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Updated
May 28, 2024 - Python
This project implements a CycleGAN-based method for image dehazing on a paired dataset containing hazy images and their corresponding ground truth clear images.
This is the project page of our paper which has been published in ECCV 2020.
AI-ML Based Dehazing / De-smoking Algorithm
--->Official repo of Dehaze Package <--- 📍Site live:https://homepage-28wgcx.streamlit.app/
This 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
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.
The code release of paper "CVIU Pyramid Channel-based Feature Attention Network for Image Dehazing", CVIU 2020
This is the MATLAB source code of a haze removal algorithm published in Remote Sensing (MDPI) under the title "Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light". The transmission map was estimated by maximizing an objective function quantifying image contrast and sharpness. Additionally, an adaptive …
MATLAB implementation of this paper: https://ieeexplore.ieee.org/document/9057708
Dehaze Algorithm
This source code is a MATLAB implementation of a haze removal algorithm that can deal with the post-dehazing false enlargement of white objects effectively. The work was published in MDPI Sensors journal under the title "Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator".
This is a MATLAB source code of the paper "Improved Color Attenuation Prior for Single-Image Haze Removal", published in Applied Sciences-Basel (MDPI).
This is the MATLAB source code of a haze removal algorithm, which dehazes a hazy input image using simple image enhancement techniques, such as detail enhancement, gamma correction, and single-scale image fusion.
Multi-scale Optimal Fusion Model for Single Image Dehazing (matlab code)
AOD Net keras implementation
An implementation of the ICCP '16 paper "Blind Dehazing Using Internal Patch Recurrence".
Implementation code of the paper "Deep Fully Convolutional Regression Networks for Single Image Haze Removal"
Dehazing algorithm based on a research paper titled "Single Image Haze Removal Using Dark Channel Prior". Published by: Kaiming He, Jian Sun, Xiaoou Tang, The Chinese University of Hong Kong, and Microsoft Research Asia
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