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This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.
This repository provides Python code and tutorials for simulating motion blur in images and restoring them using spatial and frequency domain techniques. Explore motion blur effects, apply blur in both domains, and restore original images. Ideal for image processing and computer vision projects.