MATLAB-Based Motion Blur Restoration Program
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Resource Overview
A MATLAB-developed motion blur restoration program featuring motion parameter estimation algorithms and Wiener filter source code implementation
Detailed Documentation
This documentation presents a comprehensive motion blur restoration program developed in MATLAB. The implementation includes robust motion parameter estimation techniques that analyze blur characteristics in degraded images, along with complete source code for a Wiener filter-based restoration approach. The program utilizes MATLAB's image processing toolbox functions such as fft2 for frequency domain transformation and deconvwnr for Wiener filter implementation. Key algorithmic components involve point spread function (PSF) estimation through motion trajectory analysis and adaptive regularization parameter selection for optimal noise suppression. Through this program, users can effectively restore motion-blurred images, significantly enhancing their clarity and visual quality by reversing the convolution effects of linear motion blur.
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