Lee Filter MATLAB Function File for Image Processing

This documentation presents a MATLAB function file implementing the Lee filter algorithm. The function processes SAR (Synthetic Aperture Radar) images to reduce speckle noise while preserving important edge information and texture details. The Lee filter operates based on local statistics within a sliding window, calculating mean and variance to distinguish between actual features and noise patterns. Key implementation features include: - Configurable window size (typically 3x3, 5x5, or 7x7 pixels) for different noise reduction levels - Adaptive filtering that maintains sharp edges while smoothing homogeneous areas - Efficient matrix operations utilizing MATLAB's vectorization capabilities - Support for both single-band and multi-band radar imagery The algorithm computes local mean and variance within each window, applying a weighted average that reduces noise in uniform regions while minimizing blurring near edges. This makes Lee filtering particularly valuable for remote sensing applications, medical imaging, and any scenario involving coherent imaging systems affected by multiplicative noise. The MATLAB function accepts standard image formats and returns the filtered image with improved signal-to-noise ratio, enabling clearer analysis of SAR data for terrain classification, change detection, and feature extraction tasks.