Wiener Filter Restoration Method for Motion Blurred Image Recovery

In this article, we explore a MATLAB implementation for motion-blurred image restoration using the Wiener filter method. This approach utilizes Wiener filtering to reduce or eliminate image blurring caused by motion degradation. The implementation typically involves estimating the point spread function (PSF) representing the motion blur and applying the Wiener filter in the frequency domain using Fourier transforms. We will also demonstrate a simplified approach by directly calling MATLAB's built-in Wiener filter function (deconvwnr) which automatically handles the restoration process with optimized parameters. Both methods enable effective recovery of motion-blurred images, enhancing their clarity and detail preservation. The custom implementation provides deeper understanding of the algorithm's mathematical foundation, while the function-based approach offers quick deployment for practical applications. We hope these techniques prove valuable for your image processing projects.