License Plate Super Resolution

PythonPyTorchDiffusion ModelsComputer Vision
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Overview

This project addresses the challenge of enhancing low-resolution license plate images using state-of-the-art diffusion models. The system is designed to improve the readability of blurry or low-quality license plate images captured by surveillance cameras.

Technical Implementation

The solution leverages advanced deep learning techniques:

  • Implemented custom diffusion models for image super-resolution
  • Developed specialized data preprocessing pipeline for license plate images
  • Utilized PyTorch for model development and training
  • Implemented custom loss functions for optimal image enhancement

Results

The system achieved significant improvements in image quality:

  • 4x resolution enhancement while maintaining text legibility
  • Improved PSNR (Peak Signal-to-Noise Ratio) by 3.5dB compared to baseline
  • Real-time processing capabilities for surveillance applications