A Python2 implementation of single image haze removal
-
Updated
Nov 20, 2019 - Python
A Python2 implementation of single image haze removal
A cross-platform image dehazing/defogging mobile app implemented with React Native, Djinni and OpenCV, based on dark channel prior and fast guided filter.
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061
A python package of robust and effective defogging/dehazing method
The Dark Channel Prior technique is implemented on FPGA using only Verilog code and no Intellectual Property, making it convenient to replicate using any simulator and any of the available FPGA boards, including those from Xilinx and Altera.
Dehazing using multiscale(processing) dark channel prior
Implementation of Dark Channel Fog Removal Algorithms with MATLAB
Add a description, image, and links to the defog topic page so that developers can more easily learn about it.
To associate your repository with the defog topic, visit your repo's landing page and select "manage topics."