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Lowpass

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 .

Lowpass Procedure

 
  1. Select an image file from the file browsing window at the right of the main window. Double-click the thumbnail image to select and open the image.
  2. You can open the Lowpass view, shown in Figure 3, using one of the following methods:
    • Right-click on the image name in the Workspace and select Add View > Lowpass from the popup menu. See Figure 2.

Figure 2: Select Lowpass from the Workspace

 

Or

  • Right-click on a thumbnail in the Multiple Channel window and select Lowpass.

Or

  • Select Modify > Lowpass from the menu bar.

Or

  1. Click the Lowpass icon in the toolbar.

Figure 3: Lowpass image interface

 
  1. Select the Output File Name.
  2. Click the Execute button to apply the filter to the image.
  3. To restore the unprocessed image, click the Reload button.
  4. The filter always applies a 3 x 3 filter to the image. The filter may be applied multiple times for increased blurring effects, as seen in the right image of Figure 4.

Figure 4: Lowpass filter applied

Button Action

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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