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.

Dehazing using multiscale(processing) dark channel prior

Implementation of Dark Channel Fog Removal Algorithms with MATLAB

This repo is based on an Autoencoder model for image dehazing from different types of hazes like smog, smoke or fog or even in fire inicidents

He's Single Image Haze Removal

数字媒体作业

Dark Channel Prior Dehazing implementation for IOS using Swift 5

pytorch implementation AOD-GAN:A real time video dehaze model

The Official Implementation for paper "Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers".

Dehazing Plugin Based on Contrast Enhancement for VapourSynth

MSCNN dehazing network, MATLAB implementation version

Image dehazing by convolutional neural network

The Final Project of team 8, NTUEE, Digital Circuits Lab (2021 Fall)

How to use modern deep learning framework instead of tradition image digit process ?

Weather image noise (rain, snow, haze) removal with classificatio

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

Single Image Haze Removal Using Dark Channel Prior

NeurIPS 2021 paper: Learning to Dehaze with Polarization

实现了图片处理功能的平台，完成了数据库的持久化存储

A python package of robust and effective defogging/dehazing method