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Image Processing in Java | Set 6 (Colored image to Sepia image conversion)

• Difficulty Level : Easy
• Last Updated : 14 Jun, 2019

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

In this set we will be converting a colored image to sepia image.

In a sepia image the Alpha component of the image will be same as the original image(since alpha component denotes the transparency), but the RGB will be changed, which will be calculated by the following formula.

newRed = 0.393*R + 0.769*G + 0.189*B
newGreen = 0.349*R + 0.686*G + 0.168*B
newBlue = 0.272*R + 0.534*G + 0.131*B

If any of these output values is greater than 255,
simply set it to 255.
These specific values are the values for sepia tone
that are recommended by Microsoft.

Algorithm:

1. Get the RGB value of the pixel.
2. Calculate newRed, newGree, newBlue using the above formula (Take the integer value)
3. Set the new RGB value of the pixel as per the following condition:
• If newRed > 255 then R = 255 else R = newRed
• If newGreen > 255 then G = 255 else G = newGreen
• If newBlue > 255 then B = 255 else B = newBlue
4. Replace the value of R, G and B with the new value that we calculated for the pixel.
5. Repeat Step 1 to Step 4 for each pixels of the image.

Implementation of the above algorithm:

 // Java program to demonstrate colored to sepia conversionimport java.io.File;import java.io.IOException;import java.awt.image.BufferedImage;import javax.imageio.ImageIO;  public class Sepia{    public static void main(String args[])throws IOException    {        BufferedImage img = null;        File f = null;          //read image        try        {            f = new File("G:\\Inp.jpg");            img = ImageIO.read(f);        }        catch(IOException e)        {            System.out.println(e);        }          // get width and height of the image        int width = img.getWidth();        int height = img.getHeight();          //convert to sepia        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;                  //calculate newRed, newGreen, newBlue                int newRed = (int)(0.393*R + 0.769*G + 0.189*B);                int newGreen = (int)(0.349*R + 0.686*G + 0.168*B);                int newBlue = (int)(0.272*R + 0.534*G + 0.131*B);                  //check condition                if (newRed > 255)                    R = 255;                else                    R = newRed;                  if (newGreen > 255)                    G = 255;                else                    G = newGreen;                  if (newBlue > 255)                    B = 255;                else                    B = newBlue;                  //set new RGB value                p = (a<<24) | (R<<16) | (G<<8) | B;                  img.setRGB(x, y, p);            }        }          //write image        try        {            f = new File("G:\\Out.jpg");            ImageIO.write(img, "jpg", f);        }        catch(IOException e)        {            System.out.println(e);        }    }}

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

Output:

Inp.jpg

Out.jpg

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

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