Estimation of Blur Parameters and Image Restoration

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Resource Overview

Applying blur to clear images and implementing blur parameter estimation using both spatial and frequency domain methods for image restoration, with frequency domain approach specifically targeting blur angle estimation

Detailed Documentation

In this paper, we demonstrate how to apply blur to images and estimate blur parameters using both spatial and frequency domain methods, ultimately restoring the images to their original state. We particularly focus on how the frequency domain method enables estimation of blur angles. These approaches provide deeper insights into the principles and techniques of image blur processing. The implementation typically involves convolving the original image with a point spread function (PSF) in the spatial domain, while frequency domain analysis utilizes Fourier transforms to examine spectral patterns for parameter extraction. Key functions include estimating motion blur parameters through spectrum analysis and implementing inverse filtering or Wiener filtering for restoration.

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