MATLAB Implementation of Wiener Filter for Image Restoration

This is original MATLAB source code for image restoration using Wiener filter. Wiener filter is a widely used image restoration method that performs image recovery based on the blur characteristics and noise properties of degraded images. In MATLAB implementation, the Wiener filter can be applied to process corrupted images by estimating the point spread function (PSF) and noise-to-signal power ratio. The algorithm typically involves frequency domain operations using Fourier transforms, where the restoration filter is constructed as the conjugate of the blur filter divided by the sum of the power spectrum of the blur and the noise-to-signal ratio. Key functions used in this implementation may include fft2() for 2D Fourier transform, ifft2() for inverse transform, and careful parameter tuning for optimal noise suppression and detail preservation. This approach significantly improves image quality and sharpness by effectively reducing blur and noise artifacts while maintaining important image features.