Median Filtering with Noise Detection

MATLAB 882B 218 views 0 downloads 1 credits
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Resource Overview

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.

Detailed Documentation

In this document, we present a median filtering method based on noise detection. The approach initially detects potential noise pixels through neighborhood computations before applying switching median filtering. Unlike conventional median filtering techniques, our method excludes pixels identified as noise from participating in median filtering operations for other pixels. This implementation typically involves calculating local statistics (like standard deviation or mean deviation) to establish noise thresholds, followed by conditional replacement using median values only for detected noise pixels. The method effectively eliminates noise while demonstrating superior performance in preserving image details. Through this technique, we achieve clearer and cleaner image results with maintained structural integrity.

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