Median Filtering with Noise Detection
This noise-detection-based median filtering approach first identifies noisy pixels through neighborhood analysis, then applies switching median filtering. Unlike traditional methods, pixels classified as noise are excluded from median filtering calculations for other pixels, effectively removing noise while better preserving image details. Key implementation involves threshold-based noise detection algorithms and conditional filtering logic.