package ij.plugin.filter;
import ij.*;
import ij.gui.GenericDialog;
import ij.gui.DialogListener;
import ij.process.*;
import ij.plugin.filter.GaussianBlur;
import ij.measure.Measurements;
import java.awt.*;
/** This plugin-filter implements ImageJ's Unsharp Mask command.
* Unsharp masking subtracts a blurred copy of the image and rescales the image
* to obtain the same contrast of large (low-frequency) structures as in the
* input image. This is equivalent to adding a high-pass filtered image and
* thus sharpens the image.
* "Radius (Sigma)" is the standard deviation (blur radius) of the Gaussian blur that
* is subtracted. "Mask Weight" determines the strength of filtering, where "Mask Weight"=1
* would be an infinite weight of the high-pass filtered image that is added.
*/
public class UnsharpMask implements ExtendedPlugInFilter, DialogListener {
private static double sigma = 1.0; // standard deviation of the Gaussian
private static double weight = 0.6; // weight of the mask
private final int flags = DOES_ALL|SUPPORTS_MASKING|CONVERT_TO_FLOAT|SNAPSHOT|KEEP_PREVIEW;
private GaussianBlur gb;
/** Method to return types supported
* @param arg Not used by this plugin
* @param imp The image to be filtered
* @return Code describing supported formats etc.
* (see ij.plugin.filter.PlugInFilter & ExtendedPlugInFilter)
*/
public int setup(String arg, ImagePlus imp) {
return flags;
}
/** This method is invoked for each slice or color channel. It filters
* an image by enhancing high-frequency components. Since this
* PlugInFilter specifies the CONVERT_TO_FLOAT and SNAPHOT
* flags, 'ip' is always a FloatProcessor with a valid snapshot.
* @param ip The image, slice or channel to filter
*/
public void run(ImageProcessor ip) {
sharpenFloat((FloatProcessor)ip, sigma, (float)weight);
}
/** Unsharp Mask filtering of a float image. 'fp' must have a valid snapshot. */
public void sharpenFloat(FloatProcessor fp, double sigma, float weight) {
if (gb == null) gb = new GaussianBlur();
gb.blurGaussian(fp, sigma, sigma, 0.01);
if (Thread.currentThread().isInterrupted()) return;
float[] pixels = (float[])fp.getPixels();
float[] snapshotPixels = (float[])fp.getSnapshotPixels();
int width = fp.getWidth();
Rectangle roi = fp.getRoi();
for (int y=roi.y; y<roi.y+roi.height; y++)
for (int x=roi.x, p=width*y+x; x<roi.x+roi.width; x++,p++)
pixels[p] = (snapshotPixels[p] - weight*pixels[p])/(1f - weight);
}
/** Ask the user for the parameters */
public int showDialog(ImagePlus imp, String command, PlugInFilterRunner pfr) {
String options = Macro.getOptions();
boolean oldMacro = false; //for old macros, "gaussian radius" was 2.5 sigma
if (options!=null) {
if (options.indexOf("gaussian=") >= 0) {
oldMacro = true;
Macro.setOptions(options.replaceAll("gaussian=", "radius="));
}
}
GenericDialog gd = new GenericDialog(command);
sigma = Math.abs(sigma);
if (weight<0) weight = 0;
if (weight>0.99) weight = 0.99;
gd.addNumericField("Radius (Sigma)", sigma, 1, 6, "pixels");
gd.addNumericField("Mask Weight (0.1-0.9)", weight,2);
gd.addPreviewCheckbox(pfr);
gd.addDialogListener(this);
gd.showDialog(); //input by the user (or macro) happens here
if (gd.wasCanceled()) return DONE;
if (oldMacro) sigma /= 2.5;
IJ.register(this.getClass()); //protect static class variables (parameters) from garbage collection
return IJ.setupDialog(imp, flags); //ask whether to process all slices of stack (if a stack)
}
public boolean dialogItemChanged(GenericDialog gd, AWTEvent e) {
sigma = gd.getNextNumber();
weight = gd.getNextNumber();
if (sigma < 0 || weight < 0 || weight > 0.99 || gd.invalidNumber())
return false;
else return true;
}
/** Since most computing time is spent in GaussianBlur, forward the
* information about the number of passes to Gaussian Blur. The
* ProgressBar will be handled by GaussianBlur. */
public void setNPasses(int nPasses) {
if (gb == null) gb = new GaussianBlur();
gb.setNPasses(nPasses);
}
}