https://github.com/gitgoap/defogify
Dehaze input images/ video
https://github.com/gitgoap/defogify
gradio-interface huggingface-spaces open-cv python3
Last synced: 4 months ago
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Dehaze input images/ video
- Host: GitHub
- URL: https://github.com/gitgoap/defogify
- Owner: gitgoap
- Created: 2024-09-08T03:09:55.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-15T12:48:47.000Z (10 months ago)
- Last Synced: 2025-08-10T00:56:45.284Z (4 months ago)
- Topics: gradio-interface, huggingface-spaces, open-cv, python3
- Language: Python
- Homepage: https://huggingface.co/spaces/MLap/deFogify
- Size: 15.8 MB
- Stars: 11
- Watchers: 1
- Forks: 15
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
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.
## [Research Paper](https://ieeexplore.ieee.org/document/5567108)
## Introduction
Haze removal is essential for enhancing image clarity and visibility in outdoor scenes, improving the performance of vision-based applications.
## Features
- **Single Image Dehazing**
Process one image at a time to remove haze and bring out hidden details using the Dark Channel Prior.
- **Bulk Image Dehazing**
Process multiple images simultaneously. This feature is perfect for efficiently dehazing an entire batch of images.
- **Video Dehazing**
Dehaze video files by processing each frame individually to ensure a clear and detailed output even for moving visual content.
### 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
```