Adaptive Median Filter Program with Enhanced Implementation

Adaptive median filtering is a widely used image processing algorithm that automatically adjusts filter size and shape according to image characteristics, achieving superior noise reduction effects. This program is an enhanced version derived from the original MathWorks source code,经过 thorough optimization and debugging, making it directly applicable to various image processing tasks. The implementation features dynamic window sizing where the algorithm starts with a minimum filter size and progressively expands until it either finds a noise-free pixel or reaches the maximum window dimension. Key functions include noise detection mechanisms and intelligent pixel replacement strategies that preserve image details while removing impurities. Whether processing low-noise or high-noise images, the adaptive median filter delivers excellent filtering performance, effectively reducing image noise points and artifacts. By utilizing this program, you can efficiently process images and obtain clear, natural results with minimal parameter tuning requirements. The code includes comprehensive comments explaining the algorithmic flow and contains error handling for boundary conditions and various image formats.