Difference between revisions of "Example Image Blur"
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<center> | <center> | ||
<gallery heights=250 widths= | <gallery heights=250 widths=250 perrow=4 > | ||
File: | File:Kodim17_face_orig.jpg|Input image | ||
File: | File:Kodim17_face_gaussian.jpg|Gaussian Filter | ||
File:Kodim17_face_mean.jpg|Mean Filter | |||
File:Kodim17_face_median.jpg|Median Filter | |||
</gallery> | </gallery> | ||
</center> | </center> | ||
Line 12: | Line 14: | ||
Concepts: | Concepts: | ||
* | * Image Processing | ||
* Filtering | * Filtering | ||
Related Examples: | Related Examples: | ||
* [[ | * [[Example_Image_Filter| Image Filter]] | ||
* [[Example_Convolution| Convolutions]] | |||
= Example Code = | = Example Code = |
Revision as of 14:07, 22 December 2020
Applying different types of image blur is a common way to "remove" noise from images and make later steps more effective. This example shows you how to apply different image blur operators using different interfaces.
Example Code:
Concepts:
- Image Processing
- Filtering
Related Examples:
Example Code
/**
* This example shows you can can apply different standard image blur filters to an input image using different
* interface. For repeat calls using the filter interface has some advantages, but the procedural can be
* simple to code up.
*
* @author Peter Abeles
*/
public class ExampleImageBlur {
public static void main( String[] args ) {
ListDisplayPanel panel = new ListDisplayPanel();
BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("standard/kodim17.jpg"));
panel.addImage(buffered, "Original");
Planar<GrayU8> input = ConvertBufferedImage.convertFrom(buffered, true, ImageType.pl(3, GrayU8.class));
Planar<GrayU8> blurred = input.createSameShape();
// size of the blur kernel. square region with a width of radius*2 + 1
int radius = 8;
// Apply gaussian blur using a procedural interface
GBlurImageOps.gaussian(input, blurred, -1, radius, null);
panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Gaussian");
// Apply a mean filter using an object oriented interface. This has the advantage of automatically
// recycling memory used in intermediate steps
BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(), radius);
filterMean.process(input, blurred);
panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Mean");
// Apply a median filter using image type specific procedural interface. Won't work if the type
// isn't known at compile time
BlurImageOps.median(input, blurred, radius, radius, null);
panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Median");
ShowImages.showWindow(panel, "Image Blur Examples", true);
}
}