# Multi-scale-CNN-Dehazing

**Repository Path**: pykite/Multi-scale-CNN-Dehazing

## Basic Information

- **Project Name**: Multi-scale-CNN-Dehazing
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-07-16
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ECCV-Single image dehazing via Multi-scale Convolutional Neural Networks
Wenqi Ren, Si Liu, Hua Zhang, Jinshan Pan, Xiaochun Cao, and Ming-Hsuan Yang

Released in 10/10/2016. The codes are based on MatConvNet.

# Description

This is a test implementation for ECCV16 paper: Single Image Dehazing via Multi-scale Convolutional Neural Networks. We provide testing demo as well as the pretrained model. 

# Scripts and pre-trained model

This is a demo implementation for our dehazing paper in ECCV16.

This test code is based on the MatConvNet toolbox. 
You should compile MatConvNet first on your computer then use the "demo_MSCNNdehazing.m" to test on your images.

The current published compliled version in the folder "MSCNN_dehazing\matlab" can be directly use on a Win7 computer.

# Citations
- @inproceedings{Ren-ECCV-2016,
-    author = {Ren, Wenqi and Liu, Si and Zhang, Hua and Pan, Jinshan and Cao, Xiaochun and Yang, Ming-Hsuan},
-    title = {Single Image Dehazing via Multi-Scale Convolutional Neural Networks},
-    booktitle = {European Conference on Computer Vision},
-    year = {2016}
- }