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76
Gauss
Check this filter to soften an image by eliminating high-frequency
information using a Gauss function. This has the effect of blurring
sharp edges. The operation of the Gauss filter is similar to the Low Pass
filter, but it degrades the image less than the Low Pass filter.
High Gauss
Check this filter to enhance fine details. This operation is similar to the
unsharp masking technique (see the Sharpen filter), but it introduces
less noise into the image. It uses a Gaussian curve type of kernel.
Available in 7x7 and 9x9 kernel sizes.
Equalization
This filter is used to enhance the contrast based on the histogram of
the local neighborhood (See Option below).
Sharpness
Check this filter to enhance fine details, or refocus an image that is
blurred. The sharpen filter sharpens the image using the unsharp
masking technique.
Median
Check this filter to remove impulse noise from an image. The Median
filter replaces the center pixel with the Median value in its
neighborhood. It will also blur the image.
Rank
Check this filter to remove impulse noise from an image. The pixels in
the kernel are ranked by order of intensity, and the pixel in that range
at the rank percentage is chosen for comparison. For example, in a 5x5
kernel, there are 25 pixels. A rank percentage of 95% would choose
second-brightest pixel for comparison. If the difference between the
selected pixel and the center pixel is greater than the threshold value,
the Rank filter replaces the value of the center pixel with the value of
the selected pixel.
Option:
1. If one of the Enhancement filters is checked, the following options will be
displayed:
3 x 3
Check 3 x 3 kernel will produce a more subtle filtering effect.
5 x 5
Check 5 x 5 kernel will produce a moderate filtering effect.
7 x 7
Check 7 x 7 kernel will produces a more extreme filtering effect.