Motion Image Blurring and Restoration

Resource Overview

A self-developed motion image blurring and restoration implementation that applies controlled blur to standard images and subsequently recovers their original clarity. This robust solution incorporates specialized algorithms for reliable execution and optimal results.

Detailed Documentation

I have personally developed a comprehensive program for motion image blurring and restoration. The implementation systematically applies motion blur effects to standard input images using convolution operations with point spread functions (PSFs), then employs advanced restoration algorithms such as Wiener filtering or Lucy-Richardson deconvolution to reconstruct the original sharp images. The codebase includes parameter optimization modules for adjusting blur intensity and restoration precision. I strongly encourage thorough testing and validation, as the program demonstrates stable performance across various image formats and produces visually satisfactory outcomes through its mathematically-grounded processing pipeline.