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/*
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
package image2d;
import java.awt.image.BufferedImage;
/**
*
* @author pratchaya
*/
public class Gaussian {
public static double[][] kernel(int _size, double sigma) {
int size = _size;
double gaussian[][] = new double[size][size];
for (int j = 0; j < size; j++) {
for (int i = 0; i < size; i++) {
int xValue = i - (size / 2);
int yValue = j - (size / 2);
gaussian[i][j] = (1 / (2 * Math.PI * Math.pow(sigma, 2))) * (Math.pow(Math.E, -((Math.pow(xValue, 2) + Math.pow(yValue, 2)) / (2 * Math.pow(sigma, 2)))));
}
}
return gaussian;
}
public static double kernel_sum(double[][] kernel) {
double kernel_sum = 0.0;
for (int i = 0; i < kernel.length; i++) {
for (int j = 0; j < kernel.length; j++) {
kernel_sum += kernel[i][j];
}
}
return kernel_sum;
}
public static BufferedImage apply(BufferedImage _image, int size, double sigma) {
BufferedImage imageOutput = new BufferedImage(_image.getWidth(), _image.getHeight(), BufferedImage.TYPE_3BYTE_BGR); // Set initial BufferedImage
// Set initial BufferedImage
int c = 0;
double gaussian[][] = Gaussian.kernel(size, sigma);
double agv = Gaussian.kernel_sum(gaussian);
int wight = _image.getWidth(); // image wight
int heigth = _image.getHeight(); // image hight
int kernelSize = gaussian.length; // size kernel
int kernelXY = kernelSize / 2; // find a center of kernel
// make a result with convolution method
// return image result
for (int i = 0; i < wight; i++) {
for (int j = 0; j < heigth; j++) {
int r = 0, g = 0, b = 0; // store RGB
for (int k = -kernelXY; k <= kernelXY; k++) {
for (int l = -kernelXY; l <= kernelXY; l++) {
if (k * k + l * l < gaussian.length * gaussian.length) {
int p = RGB.getRGBW(_image, i + k, j + l);
// calculate a RGB by chip bit
r += ((p >> 16) & 0xFF) * gaussian[k + kernelXY][l + kernelXY];
g += ((p >> 8) & 0xFF) * gaussian[k + kernelXY][l + kernelXY];
b += (p & 0xFF) * gaussian[k + kernelXY][l + kernelXY];
}
} //end l
}//end k
int rgb = ((int) (r / agv) << 16) | ((int) (g / agv) << 8) | ((int) (b / agv));
//set RGB revert to image
imageOutput.setRGB(i, j, rgb);
}// end i
} //end j;
return imageOutput;
}
}
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