Adaptive Filters are spatial filters whose behavior changes dynamically based on the local statistical properties (like mean and variance) of the image within a filter window. Unlike fixed filters, they adjust their computations based on image content, making them more effective at preserving edges and removing noise.
Advantages:
- Adapts window size dynamically
- Removes salt-and-pepper noise even when density is high (>20%)
- Reduces unnecessary blurring by preserving uncorrupted pixels
- Works better than standard median filter in mixed noise conditions