juce::ImageConvolutionKernel Class Reference

#include <juce_ImageConvolutionKernel.h>

Public Member Functions
	ImageConvolutionKernel (int size)
	~ImageConvolutionKernel ()
void	clear ()
float	getKernelValue (int x, int y) const noexcept
void	setKernelValue (int x, int y, float value) noexcept
void	setOverallSum (float desiredTotalSum)
void	rescaleAllValues (float multiplier)
void	createGaussianBlur (float blurRadius)
int	getKernelSize () const
void	applyToImage (Image &destImage, const Image &sourceImage, const Rectangle< int > &destinationArea) const

Private Attributes
HeapBlock< float >	values
const int	size

Detailed Description

Represents a filter kernel to use in convoluting an image.

See also

Image::applyConvolution

@tags{Graphics}

Constructor & Destructor Documentation

ImageConvolutionKernel()

juce::ImageConvolutionKernel::ImageConvolutionKernel

(

int

size

)

Creates an empty convolution kernel.

Parameters

size	the length of each dimension of the kernel, so e.g. if the size is 5, it will create a 5x5 kernel

~ImageConvolutionKernel()

juce::ImageConvolutionKernel::~ImageConvolutionKernel

(

)

Destructor.

Member Function Documentation

applyToImage()

void juce::ImageConvolutionKernel::applyToImage	(	Image &	destImage,
		const Image &	sourceImage,
		const Rectangle< int > &	destinationArea ) const

Applies the kernel to an image.

Parameters

destImage	the image that will receive the resultant convoluted pixels.
sourceImage	the source image to read from - this can be the same image as the destination, but if different, it must be exactly the same size and format.
destinationArea	the region of the image to apply the filter to

clear()

void juce::ImageConvolutionKernel::clear

(

)

Resets all values in the kernel to zero.

createGaussianBlur()

void juce::ImageConvolutionKernel::createGaussianBlur

(

float

blurRadius

)

Initialises the kernel for a gaussian blur.

Parameters

blurRadius

this may be larger or smaller than the kernel's actual size but this will obviously be wasteful or clip at the edges. Ideally the kernel should be just larger than (blurRadius * 2).

getKernelSize()

int juce::ImageConvolutionKernel::getKernelSize ( ) const

inline

Returns the size of the kernel.

E.g. if it's a 3x3 kernel, this returns 3.

getKernelValue()

float juce::ImageConvolutionKernel::getKernelValue ( int x, int y ) const

noexcept

Returns one of the kernel values.

rescaleAllValues()

void juce::ImageConvolutionKernel::rescaleAllValues

(

float

multiplier

)

Multiplies all values in the kernel by a value.

setKernelValue()

void juce::ImageConvolutionKernel::setKernelValue ( int x, int y, float value )

noexcept

Sets the value of a specific cell in the kernel.

The x and y parameters must be in the range 0 < x < getKernelSize().

See also

setOverallSum

setOverallSum()

void juce::ImageConvolutionKernel::setOverallSum

(

float

desiredTotalSum

)

Rescales all values in the kernel to make the total add up to a fixed value.

This will multiply all values in the kernel by (desiredTotalSum / currentTotalSum).

Member Data Documentation

size

const int juce::ImageConvolutionKernel::size

private

values

HeapBlock<float> juce::ImageConvolutionKernel::values

private

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The documentation for this class was generated from the following files:

• /home/runner/work/lmms-fork/lmms-fork/plugins/CarlaBase/carla/source/modules/juce_graphics/images/juce_ImageConvolutionKernel.h
• /home/runner/work/lmms-fork/lmms-fork/plugins/CarlaBase/carla/source/modules/juce_graphics/images/juce_ImageConvolutionKernel.cpp