Nonlinear Filters - Effects and Filters
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Nonlinear Filters

Nonlinear filters modify the value of each pixel in an image based on the value returned by a nonlinear function calculation that analyzes the neighboring pixels. Nonlinear filters are mostly used for noise removal and edge detection.

Black Ice imaging tools currently support the following nonlinear filters:

Alpha-Trimmed Mean Filter	ActiveX	SDK
Contra-Harmonic Mean Filter	ActiveX	SDK
Geometric Mean Filter	ActiveX	SDK
Harmonic Mean Filter	ActiveX	SDK
Maximum Filter	ActiveX	SDK
Median Filter	ActiveX	SDK
Midpoint Filter	ActiveX	SDK
Minimum Filter	ActiveX	SDK
Range Filter	ActiveX	SDK
Weighted Median Filter	ActiveX	SDK
Yp Mean Filter	ActiveX	SDK

Before and after photos of the Document Imaging SDK/ActiveX filters

Other Filters in the Document Imaging SDK/ActiveX

Adaptive Filters	Artistic Filters	Morphological Filters
Nonlinear Filters	Spatial Filters	Spatial Frequency Filters
Edge-Detection Filter	Histogram Filters

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