Super Resolution of Images
Trained and evaluated super-resolution models on the CIPHER-10 dataset to enhance low-resolution images with realistic detail. Achieved real-time super-resolution using OpenCV DNN and GPU acceleration, and implemented ESRGAN and Real-ESRGAN using PyTorch. Tools: SRGAN, TensorFlow/Keras, Python, Mediapipe, OpenCV.