https://github.com/anuranjanjain/video-upscaler
A WebAPP designed for upscalling video to HD Resolution using custom Denoise filter and OpenCV
https://github.com/anuranjanjain/video-upscaler
artificial-intelligence opencv python scikit-learn tailwindcss
Last synced: 6 months ago
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A WebAPP designed for upscalling video to HD Resolution using custom Denoise filter and OpenCV
- Host: GitHub
- URL: https://github.com/anuranjanjain/video-upscaler
- Owner: AnuranjanJain
- Created: 2024-11-19T20:32:19.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-04-26T18:04:25.000Z (about 1 year ago)
- Last Synced: 2025-06-15T18:00:56.372Z (about 1 year ago)
- Topics: artificial-intelligence, opencv, python, scikit-learn, tailwindcss
- Language: HTML
- Homepage:
- Size: 1.73 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Video Enhancer
A sleek web application for enhancing videos using AI-powered techniques. The application features a beautiful purple and black theme with modern UI elements, animations, and blur effects.
## 🌟 Features
- **Video Enhancement**: AI-powered enhancement for your videos
- Noise reduction
- Color enhancement
- Detail sharpening
- Video stabilization (optional)
- **Modern UI**: Beautiful purple and black themed interface with blur effects and animations
- **User-Friendly**: Simple drag-and-drop interface
- **Real-Time Feedback**: Progress tracking during enhancement
- **Responsive Design**: Works on desktop and mobile devices
## 📸 Screenshots
### Home Screen
### File Upload
### Processing Screen
### Result Screen
## 🚀 Getting Started
### Prerequisites
- Python 3.7+
- Flask
- OpenCV
- NumPy
- Scikit-image
### Installation
1. Clone this repository:
```bash
git clone https://github.com/yourusername/video-enhancer.git
cd video-enhancer
```
2. Install required Python packages:
```bash
pip install -r requirements.txt
```
3. Run the application:
```bash
python app.py
```
4. Open your browser and navigate to:
```
http://127.0.0.1:5000
```
## 🛠️ How It Works
1. **Upload a Video**: Drag and drop or select a video file using the upload button
2. **Choose Enhancement Options**: Select the desired enhancement options
3. **Enhance Video**: Click the "Enhance Video" button to start the enhancement process
4. **Processing**: The application will show a progress screen while enhancing your video
5. **Download**: Once processing is complete, you can preview and download the enhanced video
## 🔧 Technical Details
The Video Enhancer application uses a combination of:
- **Frontend**: HTML, CSS, JavaScript, Bulma CSS Framework
- **Backend**: Flask (Python web framework)
- **Video Processing**: OpenCV, NumPy, Scikit-image
- **Enhancement Techniques**:
- Frame extraction and resizing
- Noise reduction algorithms
- Color correction
- Detail enhancement
- Frame reconstruction
## 📁 Project Structure
```
video-enhancer/
├── app.py # Main Flask application
├── Enhancer.py # Core enhancement logic
├── preprocess.py # Video preprocessing functions
├── denoise.py # Noise reduction algorithms
├── requirements.txt # Python dependencies
├── static/ # Static assets
│ ├── style.css # Main CSS
│ ├── vdo_style.css # Video player CSS
│ ├── script.js # JavaScript
│ └── output_video.mp4 # Output video (generated)
├── templates/ # HTML templates
│ ├── index.html # Home page
│ ├── wait.html # Processing page
│ └── video.html # Results page
├── media/ # Media processing directories
│ ├── temp/
│ ├── resized_temp/
│ ├── target_output_temp/
│ ├── denoised_frames_temp/
│ └── output/
└── upload/ # Upload directory
```
## ⚙️ Configuration
You can modify the enhancement parameters in the `Enhancer.py` file:
- Change output resolution (default: 1280x720)
- Adjust noise reduction parameters
- Modify enhancement intensity
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## 📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
## 🙏 Acknowledgements
- [Flask](https://flask.palletsprojects.com/) - Web framework
- [Bulma](https://bulma.io/) - CSS framework
- [Font Awesome](https://fontawesome.com/) - Icons
- [OpenCV](https://opencv.org/) - Computer vision library