This project was shortlisted for the Smart India Hackathon. It focuses on enhancing the visibility of Permanently Shadowed Regions (PSRs) on the Moon using image processing techniques.
PSRs are areas that never receive sunlight, making them difficult to study using traditional images. Our goal is to simulate illumination and reveal hidden features using virtual enhancement.
- Python
- OpenCV
- Image Processing
- Gradient Simulation
- Detection of black regions (PSRs) in satellite or cosmic images
- Application of custom gradient fills to simulate lighting
- Real-time image processing with visual comparisons
- Designed for potential use in X-ray, cosmic, and lunar image analysis
- Selected from college for Smart India Hackathon 2024
- Integrate with AI models to enhance crater structure prediction
- Support other planetary datasets (Mars, Mercury, etc.)

