An AI-powered solution to remove reflections from images, developed for the Qualcomm VisionX competition at IIT Bombay Techfest 2024-25. This project aims to enhance image clarity using advanced deep learning techniques. A project developed for the Qualcomm VisionX Challenge at IIT Bombay Techfest 2024-25.
This project focuses on removing unwanted reflections from images using advanced AI techniques. Reflections can obscure important image details, and our solution leverages state-of-the-art deep learning models to isolate and eliminate these distortions, enhancing image quality and usability.
Removes reflections from images in diverse scenarios. Uses deep learning models trained on high-quality datasets. Lightweight and optimized for real-time or batch processing. Scalable and customizable for various applications (e.g., photography, medical imaging, surveillance).
Programming Language: Python Frameworks: TensorFlow, PyTorch Libraries: NumPy, OpenCV, Matplotlib Tools: Jupyter Notebook, Google Colab Dataset Management: pandas, scikit-learn
Dataset Collection and Preprocessing ✅ Model Architecture Design ✅ Training and Fine-Tuning Evaluation and Benchmarking Deployment and Optimization