PA1 Gaussian_02

/**
 * @author Vita Wiebe
 * @version PA1
 */

public class Gaussian implements Filter
{

/**
     * Replace the image with a blurred version.
     *
     * @param theImage The image to modify
     */
    public void filter(PixelImage theImage) {

        // get the data from the image
        Pixel[][] data = theImage.getData();

        // for each row....
        for (int row = 0; row < theImage.getHeight(); row++) {

            // for each column in said row, replace pixels with gray version
            for (int col = 0; col < theImage.getWidth(); col++) {

               // each pixel px in data[row][col] gets an RGB array[3] corresponding to colors
               int[] px = data[row][col].rgb;
               int red = px[Pixel.RED];
               int green = px[Pixel.GREEN];
               int blue = px[Pixel.BLUE];

               // Initialize temp accumulators to calc new RGB values
               int newRed = 0;
               int newGreen = 0;
               int newBlue = 0;

               Pixel tempLast = data[row][col];
               // Iterate thru a 3x3 matrix of pixels
               for (int i = 1; i < 10; i++) {
                     if (i != 5) {
                     // new<color> is new color value for new pixel multiplied by weight.
                     newRed += data[row][col].rgb[0] * i;
                     newRed += tempLast.rgb[0];
                     // greenScale += data[row][col].rgb[1];
                     newGreen += data[row][col].rgb[1] * i;
                     newGreen += tempLast.rgb[1];
                     // blueScale += data[row][col].rgb[2];
                     newBlue += data[row][col].rgb[2] * i;
                     newBlue += tempLast.rgb[2];
                     data[row][col] =
                        new Pixel(newRed/45, newGreen/45, newBlue/45);
               }
             }
         }
        theImage.setData(data);
        }
    }
}