Wiener Filter

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 [1]. 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

References

[1] 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.

Tips

• 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