java在图像中加入噪声_Java 图像噪声工具类

╰+攻爆jí腚メ 2022-11-12 02:59 213阅读 0赞

import java.awt.image.\*;public class NoiseFilter extends Filter \{

public final static int IMPULSE= 0;public final static int GAUSSIAN= 1;protected int noiseType= IMPULSE;protected double stdDev= 10.0;protected double impulseRatio= 0.05;public NoiseFilter() \{

public NoiseFilter(int noiseType) \{

setNoiseType(noiseType);\}

public NoiseFilter(int noiseType,double parameter) \{

setNoiseType(noiseType);if (noiseType== IMPULSE) setImpulseRatio(parameter); if (noiseType == GAUSSIAN) setGaussianStdDev(parameter);\}

public void setNoiseType(int noiseType) \{

this.noiseType= noiseType;\}

public int getNoiseType() \{

return noiseType;\}

public void setGaussianStdDev(double stdDev) \{

this.stdDev= stdDev;\}

public double getGaussianStdDev() \{

return stdDev;\}

public void setImpulseRatio(double impulseRatio) \{

this.impulseRatio= impulseRatio;\}

public double getImpulseRatio() \{

return impulseRatio;\}

public java.awt.image.BufferedImage filter(BufferedImage image,BufferedImage output) \{

output= verifyOutput(output, image);switch (noiseType) \{

default:

case IMPULSE: return impulseNoise(image, output); case GAUSSIAN: return gaussianNoise(image, output);\}

protected BufferedImage impulseNoise(BufferedImage image,BufferedImage output) \{

output.setData(image.getData());Raster source= image.getRaster(); WritableRaster out = output.getRaster();double rand; double halfImpulseRatio = impulseRatio / 2.0; int bands = out.getNumBands(); int width = image.getWidth();// width of the image

int height = image.getHeight();// height of the image

java.util.Random randGen = new java.util.Random();for (int j=0;j

for (int i=0;i

rand = randGen.nextDouble();if (rand < halfImpulseRatio) \{

for (int b=0;b

\} else if (rand < impulseRatio) \{

for (int b=0;b

return output;\}

protected BufferedImage gaussianNoise(BufferedImage image,BufferedImage output) \{

Raster source= image.getRaster(); WritableRaster out = output.getRaster();int currVal;// the current value

double newVal;// the new "noisy" value

double gaussian;// gaussian number

int bands = out.getNumBands();// number of bands

int width = image.getWidth();// width of the image

int height = image.getHeight();// height of the image

java.util.Random randGen = new java.util.Random();for (int j=0;j

for (int i=0;i

gaussian = randGen.nextGaussian();for (int b=0;b

newVal = stdDev \* gaussian; currVal = source.getSample(i, j, b); newVal = newVal + currVal; if (newVal < 0) newVal = 0.0; if (newVal > 255) newVal = 255.0;out.setSample(i, j, b, (int)(newVal));\}

return output;\}