Pre-Processing > Wiener Filter
Reduces sparse noise while preserving edges. Sets each pixel in the Current Image equal to the median pixel value of its adjusted specified neighborhood size . Pixels with near edges will use smaller neighborhood sizes.
1. Window Size
Size of neighborhood (in pixels) which is considered about each pixel for the filter
 Lim, Jae S., Two-Dimensional Signal and Image Processing, Englewood Cliffs, NJ, Prentice Hall, 1990, p. 548, equations 9.26, 9.27, and 9.29.
- Noise-reduction filters are often very useful for removing granular noise while maintaining clean feature boundaries.
- We recommend you try all of the filters to find which once works best.
- Starting Window Size Value: 5, increase to remove larger artifacts
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