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https://github.com/gitgoap/defogify
Dehaze input image. Give a ⭐ to support the project.
https://github.com/gitgoap/defogify
gradio-interface huggingface numpy open-cv python3
Last synced: about 18 hours ago
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Dehaze input image. Give a ⭐ to support the project.
- Host: GitHub
- URL: https://github.com/gitgoap/defogify
- Owner: gitgoap
- Created: 2024-09-08T03:09:55.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-02-04T14:51:35.000Z (8 days ago)
- Last Synced: 2025-02-07T22:42:48.845Z (5 days ago)
- Topics: gradio-interface, huggingface, numpy, open-cv, python3
- Language: Python
- Homepage: https://huggingface.co/spaces/MLap/deFogify
- Size: 15.8 MB
- Stars: 10
- Watchers: 1
- Forks: 16
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
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README
## Overview
This project implements a single-image haze removal technique using the Dark Channel Prior, as described in the research paper: ``Single Image Haze Removal Using Dark Channel Prior``
The dehazing algorithm is designed to enhance the quality of images affected by haze. This method is effective for various applications in image processing where haze reduction is required.
## Introduction
Haze removal is essential for enhancing image clarity and visibility in outdoor scenes, improving the performance of vision-based applications.
## [Research Paper](https://ieeexplore.ieee.org/document/5567108)
### Before and After Examples
| Original Image | Dehazed Image |
|----------------|---------------|
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## Live Demo
Try the dehazing app live at ``Hugging Face``:
[Visit DeFogify in 🤗 space](https://huggingface.co/spaces/MLap/deFogify)
## Installation
Ensure you have the required Python packages installed. Dependencies are listed in the `requirements.txt` file.
To install the required packages, use:
```bash
pip install -r requirements.txt
```
For Ubuntu/Debian-based systems, also install:
```bash
sudo apt-get update
sudo apt-get install libgl1-mesa-glx
```