Implementation of Adaptive Median Filtering for Images

This program implements adaptive median filtering for images, a filtering technique that effectively eliminates image noise and enhances image quality. Compared to MATLAB's built-in median filter, this implementation demonstrates superior performance due to its adaptive nature. The algorithm dynamically adjusts the filter window size based on local noise characteristics rather than using a fixed window size, allowing better preservation of edges while removing noise. The implementation typically involves checking pixel intensity variations within progressively larger windows until optimal filtering parameters are determined. This adaptive median filter technique is particularly valuable in image processing applications including image denoising, edge preservation, and image enhancement. Consequently, this program holds significant application value, suitable not only for academic research but also for practical production environments to improve image processing efficiency and quality.