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Image Processing in Java | Set 4 (Colored image to Negative image conversion)
  • Difficulty Level : Medium
  • Last Updated : 18 Nov, 2016

We strongly recommend to refer below post as a prerequisite of this.

In this set we will be converting a colored image to negative image.
Note: In a negative image the Alpha component of the image will be same as the original image, but the RGB will be changed i.e, all three RGB components will be having a value of 255-original component value.


  1. Get the RGB value of the pixel.
  2. Calculate new RGB values as follows:
    • R = 255 – R
    • G = 255 – G
    • B = 255 – B
  3. Replace the R, G and B value of the pixel with the values calculated in step 2.
  4. Repeat Step 1 to Step 3 for each pixels of the image.

Implementation of the above algorithm:





// Java program to demonstrate colored to negative conversion
import java.awt.image.BufferedImage;
import javax.imageio.ImageIO;
public class Negative
    public static void main(String args[])throws IOException
        BufferedImage img = null;
        File f = null;
        // read image
            f = new File("G:\\Inp.jpg");
            img =;
        catch(IOException e)
        // Get image width and height
        int width = img.getWidth();
        int height = img.getHeight();
        // Convert to negative
        for (int y = 0; y < height; y++)
            for (int x = 0; x < width; x++)
                int p = img.getRGB(x,y);
                int a = (p>>24)&0xff;
                int r = (p>>16)&0xff;
                int g = (p>>8)&0xff;
                int b = p&0xff;
                //subtract RGB from 255
                r = 255 - r;
                g = 255 - g;
                b = 255 - b;
                //set new RGB value
                p = (a<<24) | (r<<16) | (g<<8) | b;
                img.setRGB(x, y, p);
        // write image
            f = new File("G:\\Out.jpg");
            ImageIO.write(img, "jpg", f);
        catch(IOException e)


Note : This code will not run on online IDE as it needs an image on disk.



This article is contributed by Pratik Agarwal. If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to See your article appearing on the GeeksforGeeks main page and help other Geeks.

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