Implementation code of the paper "Deep Fully Convolutional Regression Networks for Single Image Haze Removal"
-
Updated
Jul 29, 2018 - MATLAB
Implementation code of the paper "Deep Fully Convolutional Regression Networks for Single Image Haze Removal"
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.
This is the project page of our paper which has been published in ECCV 2020.
Multi-scale Optimal Fusion Model for Single Image Dehazing (matlab code)
AI-ML Based Dehazing / De-smoking Algorithm
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
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
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.
An implementation of the ICCP '16 paper "Blind Dehazing Using Internal Patch Recurrence".
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 …
The code release of paper "CVIU Pyramid Channel-based Feature Attention Network for Image Dehazing", CVIU 2020
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".
AOD Net keras implementation
HazeSpace2M is a large scale paired hazy dataset for training and evaluating haze type classification models and single image dehazing models.
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 GitHub repository includes code and tools for dehazing photos and videos, as well as object detection. It intends to assist firemen during rescue missions.
🚀👀 --->Official repo of Dehaze Package <--- 📍Site live:https://homepage-28wgcx.streamlit.app/
MATLAB implementation of this paper: https://ieeexplore.ieee.org/document/9057708
This project implements a CycleGAN-based method for image dehazing on a paired dataset containing hazy images and their corresponding ground truth clear images.
Add a description, image, and links to the dehazing-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the dehazing-algorithm topic, visit your repo's landing page and select "manage topics."