Simple Median Filter Implementation

This implementation presents a relatively simple median filtering approach for image processing. Median filtering serves as a fundamental image processing algorithm that effectively removes noise from images. The program is developed in MATLAB, featuring both compact code structure and high readability. The core algorithm operates by replacing each pixel's value with the median value of its surrounding neighborhood pixels. This process effectively smooths the image while preserving critical edge features and important image characteristics. The implementation leverages MATLAB's built-in median function and sliding window technique, typically using a 3x3 or 5x5 pixel neighborhood for computation. Through this method, the program enhances image quality and improves the accuracy of subsequent image analysis tasks. The code structure includes efficient pixel iteration, neighborhood extraction, and median calculation components, making it suitable for educational purposes and basic image preprocessing applications.