## Reduce the image comparison time

Have any the better algorithms of image comparison? I would like to ask if there is a way to reduce nanotime to below 80000000 nano sec.
```  public static void main(String[] args)
{

long startTime = System.nanoTime();
BufferedImage imgA = null;
BufferedImage imgB = null;

try
{

File fileA = new File("C:\\Users\\rx-78-1.jpg");
File fileB = new File("C:\\Users\\rx-78-2.jpg");

}
catch (IOException e)
{
System.out.println(e);
}

imgA = resize(imgA, 8, 8);
imgB = resize(imgB, 8, 8);

int width1 = imgA.getWidth();
int width2 = imgB.getWidth();
int height1 = imgA.getHeight();
int height2 = imgB.getHeight();

//Take the smaller image width and height
if(width1>width2) width1 = width2;
if(height1>height2) height1 = height2;

long difference = 0;
for (int y = 0; y < height1; y++){
for (int x = 0; x < width1; x++){
int rgbA = imgA.getRGB(x, y);
int rgbB = imgB.getRGB(x, y);
int redA = (rgbA >> 16) & 0xff;
int greenA = (rgbA >> 8) & 0xff;
int blueA = (rgbA) & 0xff;
int redB = (rgbB >> 16) & 0xff;
int greenB = (rgbB >> 8) & 0xff;
int blueB = (rgbB) & 0xff;
difference += Math.abs(redA - redB);
difference += Math.abs(greenA - greenB);
difference += Math.abs(blueA - blueB);

}
}

//total number of rgb data = width * height * 3
double total_rgb_data = width1 * height1 * 3;

// average pixels per rgb
double avg_different_pixels = difference / total_rgb_data;

// There are 255 values of pixels in total
double percentage = (avg_different_pixels / 255) * 100;

System.out.println("Similarity Percentage::" + (100-percentage) +" %");

long endTime = System.nanoTime();
System.out.println("Time taken::"+(endTime - startTime)+" nano sec");

}//main() ends here

public static BufferedImage resize(BufferedImage image, int width, int height) {
BufferedImage resizedImage = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
Graphics2D g = resizedImage.createGraphics();
g.drawImage(image, 0, 0, width, height, null);
g.dispose();
return resizedImage;
}

}//class ends here```
rx-78-1.jpg
rx-78-2.jpg