High Pass Filter
The High Pass Filter sharpens the image by passing high frequency information in the image. This is also sometimes called a "crispening" filter. The degree of enhancement ranges from 0% (no sharpening) to 100% (maximum sharpening) as controlled by two properties: The Filter Type property changes the size of the local neighborhood used to calculate the high-pass value. The Strength property determines the proportion of sharpened image mixed with the original image. In general, the stronger the enhancement, the greater the increase in sharpness but also the greater the appearance of ringing artefacts surrounding sharp features. This filter is computed faster than the Unsharp Mask but adds more noise. Use it for quick crispening of image details.
The High Pass Filter command opens from the Image Window > Process > Filters menu and button on the Main Toolbar. The "immediate" form, shown first, opens when an image or image set is displayed in the top-most window. The general form can be used to select source images from folders, windows, or by matching templates.
High Pass Filter
Profile [|>] |
Selects the parameter profile for this command and allows you to save or work with existing presets. |
[Select] |
Opens the Select Source Images dialog to choose images from an image window, folder, files, pattern, or a file list. |
Filter Type |
Specifies the type of pixel neighborhood to select for calculating a sharpened value. |
Strength |
Controls the percentage of high-pass image blended with the original image to produce the final image. |
Source Region |
Specifies the rectangular region to be processed. The options are as follows: Entire image: The entire image is processed. Image Cursor: The region to be processed is selected using the Image Cursor. Rectangle: The region specified by Min andMax limits for Column and Row coordinates is processed. Column and Row, Min and Max: When Rectangle is selected, these values specify the column and row limits to be processed. |
Spatial Filter Commands, Unsharp Mask, Maximum Entropy Deconvolution