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The Lowpass command suppresses high spatial frequency components by averaging a 3 x 3 pixel region centered on each pixel. Data is analyzed in kernels (matrices), with every pixel individually recalculated based upon the values of its neighboring pixels. |
Figure 1: Lowpass Data Analysis Depiction
The Lowpass filter always uses a 3 x 3 kernel. Each pixel in an image is replaced with the average value of the 3 x 3 pixels centered on it.
Because of legacy reasons, we call this filter Lowpass. Yes, it would have been better if named we had called it Mean or Average filter. If you are looking for a "real" lowpass filter, see Gaussian or Spectrum 2D .
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Figure 2: Select Lowpass from the Workspace
Or
Or
Or |
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Figure 3: Lowpass image interface
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Figure 4: Lowpass filter applied
Button | Action |
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Execute |
Initiates the Plane Fit operation. |
Reload |
Restores the image to its original form by reloading the original file. |
Table 1: Buttons on the Lowpass Panel
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