A cross-platform image dehazing/defogging mobile app implemented with React Native, Djinni and OpenCV, based on dark channel prior and fast guided filter.
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Updated
Jun 1, 2017 - C++
A cross-platform image dehazing/defogging mobile app implemented with React Native, Djinni and OpenCV, based on dark channel prior and fast guided filter.
Single Image Haze Removal Using Dark Channel Prior
实现了图片处理功能的平台,完成了数据库的持久化存储
Image dehazing by convolutional neural network
A python package of robust and effective defogging/dehazing method
Implementation of Dark Channel Fog Removal Algorithms with MATLAB
A Python2 implementation of single image haze removal
A low-level vision zoo for dehazing, deblurring, denoising, deraining, inpainting, color enhancement, brightening, and super resolution .
a dehaze / picture enhancement demo using ncnn
Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network
NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.
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
This is an python implementation of "single image haze removal using dark channel prior"
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