Adaptive Median Filter

This program implements an adaptive median filter using MATLAB, delivering superior performance while maintaining beginner-friendly accessibility. The implementation includes test images for immediate validation, though users can easily substitute their own images by modifying the input path in the code. Execution requires simply running the main.m file, which handles image loading, filter application, and result display through integrated function calls. The core algorithm operates by dynamically adjusting window sizes based on local noise characteristics, effectively preserving edges while removing impulse noise. Key functions include adaptive_window() for dynamic kernel sizing and median_calculation() for efficient pixel processing. The implementation leverages MATLAB's vectorized operations for optimized computational speed, making it suitable for real-time image processing applications. Additional features and customization options can be integrated upon request, such as adjustable noise thresholds, multi-channel support for color images, or batch processing capabilities for enhanced workflow efficiency. The modular code structure allows straightforward expansion while maintaining the original algorithm's simplicity and performance advantages.