Image Blurring and Restoration Using Inverse Filtering and Wiener Filtering

MATLAB 108K 258 views 0 downloads 1 credits
Tags:

Resource Overview

Implementation of image blurring followed by restoration using inverse filtering and Wiener filtering methods, with custom-developed code for experimental purposes. Seeking feedback and guidance on the approach.

Detailed Documentation

In this experiment, we applied blurring effects to images and attempted to restore their clarity using inverse filtering and Wiener filtering techniques. The implementation involves custom-developed code that underwent iterative testing and refinement to achieve improved results. The inverse filtering approach directly applies the inverse of the blurring function in the frequency domain, while Wiener filtering incorporates statistical noise considerations for more robust restoration. Key implementation aspects include frequency domain transformations using FFT algorithms, point spread function modeling, and regularization parameter optimization for noise handling. We welcome your professional guidance and suggestions for further improvement, thank you!

You May Also Like