MATLAB Implementation of Wiener Filter Algorithm

This package provides a MATLAB-implemented Wiener filter algorithm that can be directly called after extraction. The Wiener filter algorithm is widely used in signal and image processing applications, effectively reducing noise in images while enhancing clarity and quality. The implementation includes core functions for noise estimation and frequency-domain filtering using MATLAB's built-in fft2 and ifft2 functions for efficient Fourier transform operations. Through this algorithm, you can perform denoising processing on various image types including digital images and medical images, with customizable parameters for noise variance and local window size. The code structure features automated noise power spectrum estimation and implements the minimum mean-square error criterion to optimize filter performance. Whether for scientific research or engineering applications, this Wiener filter implementation serves as a valuable tool for improving image quality to better suit your requirements, with additional functionality for handling different noise models and adaptive filtering scenarios.