Example Image Blur - Revision history

Peter at 23:00, 17 January 2022

2022-01-17T23:00:09Z

← Older revision		Revision as of 23:00, 17 January 2022
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.38/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.40/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]

	Concepts:		Concepts:
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	public static void main( String[] args ) {		public static void main( String[] args ) {
	ListDisplayPanel panel = new ListDisplayPanel();		ListDisplayPanel panel = new ListDisplayPanel();
	BufferedImage buffered = UtilImageIO.~~loadImage~~(UtilIO.pathExample("standard/kodim17.jpg"));		BufferedImage buffered = UtilImageIO.loadImageNotNull(UtilIO.pathExample("standard/kodim17.jpg"));

	panel.addImage(buffered, "Original");		panel.addImage(buffered, "Original");

Peter at 18:56, 12 July 2021

2021-07-12T18:56:01Z

← Older revision		Revision as of 18:56, 12 July 2021
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.37/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.38/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]

	Concepts:		Concepts:
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	/**		/**
	* This example shows you can can apply different standard image blur filters to an input image using different		* 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		* interface. For repeat calls using the filter interface has some advantages, but the procedural can be
	* simple to code up.		* simple to code up.
	*		*
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	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Gaussian");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Gaussian");

	// Apply a mean filter using an object oriented interface. This has the advantage of automatically		// Apply a mean filter using an object oriented interface. This has the advantage of automatically
	// recycling memory used in intermediate steps		// recycling memory used in intermediate steps
	BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(), radius);		BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(), radius);
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	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Mean");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Mean");

	// Apply a median filter using image type specific procedural interface. Won't work if the type		// Apply a median filter using image type specific procedural interface. Won't work if the type
	// isn't known at compile time		// isn't known at compile time
	BlurImageOps.median(input, blurred, radius, radius, null);		BlurImageOps.median(input, blurred, radius, radius, null);

Peter at 21:07, 22 December 2020

2020-12-22T21:07:59Z

← Older revision		Revision as of 21:07, 22 December 2020
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.33/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.37/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]

	Concepts:		Concepts:
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	*/		*/
	public class ExampleImageBlur {		public class ExampleImageBlur {
			public static void main( String[] args ) {
	public static void main(String[] args) {
	ListDisplayPanel panel = new ListDisplayPanel();		ListDisplayPanel panel = new ListDisplayPanel();
	BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("standard/kodim17.jpg"));		BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("standard/kodim17.jpg"));

	panel.addImage(buffered,"Original");		panel.addImage(buffered, "Original");

	Planar<GrayU8> input = ConvertBufferedImage.convertFrom(buffered, true, ImageType.pl(3, GrayU8.class));		Planar<GrayU8> input = ConvertBufferedImage.convertFrom(buffered, true, ImageType.pl(3, GrayU8.class));
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	// Apply gaussian blur using a procedural interface		// Apply gaussian blur using a procedural interface
	GBlurImageOps.gaussian(input,blurred,-1,radius,null);		GBlurImageOps.gaussian(input, blurred, -1, radius, null);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Gaussian");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Gaussian");

	// Apply a mean filter using an object oriented interface. This has the advantage of automatically		// Apply a mean filter using an object oriented interface. This has the advantage of automatically
	// recycling memory used in intermediate steps		// recycling memory used in intermediate steps
	BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(),radius);		BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(), radius);
	filterMean.process(input, blurred);		filterMean.process(input, blurred);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Mean");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Mean");

	// Apply a median filter using image type specific procedural interface. Won't work if the type		// Apply a median filter using image type specific procedural interface. Won't work if the type
	// isn't known at compile time		// isn't known at compile time
	BlurImageOps.median(input,blurred,radius, null);		BlurImageOps.median(input, blurred, radius, radius, null);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Median");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Median");

	ShowImages.showWindow(panel,"Image Blur Examples",true);		ShowImages.showWindow(panel, "Image Blur Examples", true);
	}		}
	}		}
	</syntaxhighlight>		</syntaxhighlight>

Peter at 21:07, 22 December 2020

2020-12-22T21:07:08Z

← Older revision		Revision as of 21:07, 22 December 2020
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	<center>		<center>
	<gallery heights=250 widths=~~320~~ perrow=4 >		<gallery heights=250 widths=250 perrow=4 >
	File:~~example_disparity_smoothing_raw~~.jpg\|~~Before any post processing~~. ~~Notice all the noise?~~		File:Kodim17_face_orig.jpg\|Input image
	File:~~example_disparity_smoothing_speckle~~.jpg\|~~After speckle has been removed~~.		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>
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.37/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.33/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]

	Concepts:		Concepts:
	* ~~Stereo Disparity~~		* Image Processing
	* Filtering		* Filtering

	Related Examples:		Related Examples:
	* [[~~Example_Stereo_Disparity~~\| ~~Stereo Disparity~~]]		* [[Example_Image_Filter\| Image Filter]]
			* [[Example_Convolution\| Convolutions]]

	= Example Code =		= Example Code =
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	*/		*/
	public class ExampleImageBlur {		public class ExampleImageBlur {
	public static void main( String[] args ) {
			public static void main(String[] args) {
	ListDisplayPanel panel = new ListDisplayPanel();		ListDisplayPanel panel = new ListDisplayPanel();
	BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("standard/kodim17.jpg"));		BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("standard/kodim17.jpg"));

	panel.addImage(buffered, "Original");		panel.addImage(buffered,"Original");

	Planar<GrayU8> input = ConvertBufferedImage.convertFrom(buffered, true, ImageType.pl(3, GrayU8.class));		Planar<GrayU8> input = ConvertBufferedImage.convertFrom(buffered, true, ImageType.pl(3, GrayU8.class));
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	// Apply gaussian blur using a procedural interface		// Apply gaussian blur using a procedural interface
	GBlurImageOps.gaussian(input, blurred, -1, radius, null);		GBlurImageOps.gaussian(input,blurred,-1,radius,null);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Gaussian");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Gaussian");

	// Apply a mean filter using an object oriented interface. This has the advantage of automatically		// Apply a mean filter using an object oriented interface. This has the advantage of automatically
	// recycling memory used in intermediate steps		// recycling memory used in intermediate steps
	BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(), radius);		BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(),radius);
	filterMean.process(input, blurred);		filterMean.process(input, blurred);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Mean");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Mean");

	// Apply a median filter using image type specific procedural interface. Won't work if the type		// Apply a median filter using image type specific procedural interface. Won't work if the type
	// isn't known at compile time		// isn't known at compile time
	BlurImageOps.median(input, blurred~~, radius~~, radius, null);		BlurImageOps.median(input,blurred,radius, null);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Median");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Median");

	ShowImages.showWindow(panel, "Image Blur Examples", true);		ShowImages.showWindow(panel,"Image Blur Examples",true);
	}		}
	}		}
	</syntaxhighlight>		</syntaxhighlight>

Peter at 21:05, 22 December 2020

2020-12-22T21:05:09Z

← Older revision		Revision as of 21:05, 22 December 2020
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	<center>		<center>
	<gallery heights=250 widths=~~250~~ perrow=4 >		<gallery heights=250 widths=320 perrow=4 >
	File:~~Kodim17_face_orig~~.jpg\|~~Input image~~		File:example_disparity_smoothing_raw.jpg\|Before any post processing. Notice all the noise?
	~~File:Kodim17_face_gaussian~~.~~jpg\|Gaussian Filter~~		File:example_disparity_smoothing_speckle.jpg\|After speckle has been removed.
	File:~~Kodim17_face_mean~~.jpg\|~~Mean Filter~~
	~~File:Kodim17_face_median~~.~~jpg\|Median Filter~~
	</gallery>		</gallery>
	</center>		</center>
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	Concepts:		Concepts:
	* ~~Image Processing~~		* Stereo Disparity
	* Filtering		* Filtering

	Related Examples:		Related Examples:
	* [[~~Example_Image_Filter~~\| ~~Image Filter]]~~		* [[Example_Stereo_Disparity\| Stereo Disparity]]
	* [[Example_Convolution\| Convolutions]]

	= Example Code =		= Example Code =

Peter at 02:17, 22 December 2020

2020-12-22T02:17:30Z

← Older revision		Revision as of 02:17, 22 December 2020
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.33/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.37/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]

	Concepts:		Concepts:
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	*/		*/
	public class ExampleImageBlur {		public class ExampleImageBlur {
			public static void main( String[] args ) {
	public static void main(String[] args) {
	ListDisplayPanel panel = new ListDisplayPanel();		ListDisplayPanel panel = new ListDisplayPanel();
	BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("standard/kodim17.jpg"));		BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("standard/kodim17.jpg"));

	panel.addImage(buffered,"Original");		panel.addImage(buffered, "Original");

	Planar<GrayU8> input = ConvertBufferedImage.convertFrom(buffered, true, ImageType.pl(3, GrayU8.class));		Planar<GrayU8> input = ConvertBufferedImage.convertFrom(buffered, true, ImageType.pl(3, GrayU8.class));
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	// Apply gaussian blur using a procedural interface		// Apply gaussian blur using a procedural interface
	GBlurImageOps.gaussian(input,blurred,-1,radius,null);		GBlurImageOps.gaussian(input, blurred, -1, radius, null);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Gaussian");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Gaussian");

	// Apply a mean filter using an object oriented interface. This has the advantage of automatically		// Apply a mean filter using an object oriented interface. This has the advantage of automatically
	// recycling memory used in intermediate steps		// recycling memory used in intermediate steps
	BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(),radius);		BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(), radius);
	filterMean.process(input, blurred);		filterMean.process(input, blurred);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Mean");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Mean");

	// Apply a median filter using image type specific procedural interface. Won't work if the type		// Apply a median filter using image type specific procedural interface. Won't work if the type
	// isn't known at compile time		// isn't known at compile time
	BlurImageOps.median(input,blurred,radius, null);		BlurImageOps.median(input, blurred, radius, radius, null);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Median");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true), "Median");

	ShowImages.showWindow(panel,"Image Blur Examples",true);		ShowImages.showWindow(panel, "Image Blur Examples", true);
	}		}
	}		}
	</syntaxhighlight>		</syntaxhighlight>

Peter at 14:24, 15 March 2019

2019-03-15T14:24:32Z

← Older revision		Revision as of 14:24, 15 March 2019
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	<center>		<center>
	<gallery heights=250 widths=250 perrow=4 >		<gallery heights=250 widths=250 perrow=4 >
	~~file~~:~~Original_lena512~~.jpg\|Input image		File:Kodim17_face_orig.jpg\|Input image
	~~file~~:~~Example_lena_gaussian_blur~~.jpg\|Gaussian Filter		File:Kodim17_face_gaussian.jpg\|Gaussian Filter
	~~file~~:~~Example_lena_mean_blur~~.jpg\|Mean Filter		File:Kodim17_face_mean.jpg\|Mean Filter
	~~file~~:~~Example_lena_median_blur~~.jpg\|Median Filter		File:Kodim17_face_median.jpg\|Median Filter
	</gallery>		</gallery>
	</center>		</center>

Peter at 14:18, 15 March 2019

2019-03-15T14:18:09Z

Peter at 15:57, 17 August 2017

2017-08-17T15:57:22Z

← Older revision		Revision as of 15:57, 17 August 2017
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.26/examples/src/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.27/examples/src/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]

	Concepts:		Concepts:
	* Image Processing		* Image Processing
	* ~~Pre-processing~~		* Filtering

	Related Examples:		Related Examples:
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	public static void main(String[] args) {		public static void main(String[] args) {
	ListDisplayPanel panel = new ListDisplayPanel();		ListDisplayPanel panel = new ListDisplayPanel();
	BufferedImage ~~image~~ = UtilImageIO.loadImage(UtilIO.pathExample("~~standard/lena512~~.jpg"));		BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("sunflowers.jpg"));

	panel.addImage(~~image~~,"Original");		panel.addImage(buffered,"Original");

	GrayU8 ~~gray~~ = ConvertBufferedImage.~~convertFromSingle~~(~~image~~, ~~null~~, GrayU8.class);		Planar<GrayU8> input = ConvertBufferedImage.convertFrom(buffered, true, ImageType.pl(3, GrayU8.class));
	GrayU8 blurred = ~~gray~~.createSameShape();		Planar<GrayU8> blurred = input.createSameShape();

	// size of the blur kernel. square region with a width of radius*2 + 1		// size of the blur kernel. square region with a width of radius*2 + 1
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	// Apply gaussian blur using a procedural interface		// Apply gaussian blur using a procedural interface
	GBlurImageOps.gaussian(~~gray~~,blurred,-1,radius,null);		GBlurImageOps.gaussian(input,blurred,-1,radius,null);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Gaussian");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Gaussian");

	// Apply a mean filter using an object oriented interface. This has the advantage of automatically		// Apply a mean filter using an object oriented interface. This has the advantage of automatically
	// recycling memory used in intermediate steps		// recycling memory used in intermediate steps
	BlurFilter<GrayU8> filterMean = FactoryBlurFilter.mean(~~GrayU8~~.~~class~~,radius);		BlurFilter<Planar<GrayU8>> filterMean = FactoryBlurFilter.mean(input.getImageType(),radius);
	filterMean.process(~~gray~~, blurred);		filterMean.process(input, blurred);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Mean");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Mean");

	// Apply a median filter using image type specific procedural interface. Won't work if the type		// Apply a median filter using image type specific procedural interface. Won't work if the type
	// isn't known at compile time		// isn't known at compile time
	BlurImageOps.median(~~gray~~,blurred,radius);		BlurImageOps.median(input,blurred,radius);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Median");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Median");

Peter at 03:25, 8 December 2016

2016-12-08T03:25:33Z

← Older revision		Revision as of 03:25, 8 December 2016
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	<center>		<center>
	<gallery ~~caption="Non-maximum suppression with different settings"~~ heights=250 widths=250 perrow=4 >		<gallery heights=250 widths=250 perrow=4 >
	file:Original_lena512.jpg\|Input image		file:Original_lena512.jpg\|Input image
	file:Example_lena_gaussian_blur.jpg\|Gaussian Filter		file:Example_lena_gaussian_blur.jpg\|Gaussian Filter

← Older revision		Revision as of 14:18, 15 March 2019
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.27/examples/src/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.33/examples/src/main/java/boofcv/examples/imageprocessing/ExampleImageBlur.java ExampleImageBlur.java]

	Concepts:		Concepts:
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	public static void main(String[] args) {		public static void main(String[] args) {
	ListDisplayPanel panel = new ListDisplayPanel();		ListDisplayPanel panel = new ListDisplayPanel();
	BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("~~sunflowers~~.jpg"));		BufferedImage buffered = UtilImageIO.loadImage(UtilIO.pathExample("standard/kodim17.jpg"));

	panel.addImage(buffered,"Original");		panel.addImage(buffered,"Original");
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	// Apply a median filter using image type specific procedural interface. Won't work if the type		// Apply a median filter using image type specific procedural interface. Won't work if the type
	// isn't known at compile time		// isn't known at compile time
	BlurImageOps.median(input,blurred,radius);		BlurImageOps.median(input,blurred,radius, null);
	panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Median");		panel.addImage(ConvertBufferedImage.convertTo(blurred, null, true),"Median");