Prerequisites:
- Image Processing in Java – Read and Write
- Image Processing In Java – Get and Set Pixels
- Image Processing in Java – Colored Image to Grayscale Image Conversion
- Image Processing in Java – Colored Image to Negative Image Conversion
In this set, we will be converting a colored image to an image with either red effect, green effect, or blue effect.
Colored Image – The colored image or RGB color model is an additive mixing model in which red, green, and blue light are added together in various ways to reproduce a broad array of colors.
The basic idea is to get the pixel value for each coordinate and then keep the desired resultant color pixel value to be the same and set the other two as zero.
Converting to Red Colored Image
Algorithm:
- Get the RGB value of the pixel.
- Set the RGB values as follows:
- R: NO CHANGE
- G: Set to 0
- B: Set to 0
- Replace the R, G, and B values of the pixel with the values calculated in step 2.
- Repeat Step 1 to Step 3 for each pixel of the image.
Implementation:
Java
// Java program to demonstrate colored// to red colored image conversion import java.awt.image.BufferedImage;import java.io.File;import java.io.IOException;import javax.imageio.ImageIO; public class RedImage { public static void main(String args[]) throws IOException { BufferedImage img = null; File f = null; // read image try { f = new File( "C:/Users/hp/Desktop/Image Processing in Java/gfg-logo.png"); img = ImageIO.read(f); } catch (IOException e) { System.out.println(e); } // get width and height int width = img.getWidth(); int height = img.getHeight(); // convert to red image 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; // set new RGB keeping the r // value same as in original image // and setting g and b as 0. p = (a << 24) | (r << 16) | (0 << 8) | 0; img.setRGB(x, y, p); } } // write image try { f = new File( "C:/Users/hp/Desktop/Image Processing in Java/GFG.png"); ImageIO.write(img, "png", f); } catch (IOException e) { System.out.println(e); } }} |
Output –
Note: This code will not run on an online IDE as it needs an image on a disk.
Converting to Green Colored Image
Algorithm
- Get the RGB value of the pixel.
- Set the RGB values as follows:
- R: Set to 0
- G: NO CHANGE
- B: Set to 0
- Replace the R, G, and B values of the pixel with the values calculated in step 2.
- Repeat Step 1 to Step 3 for each pixel of the image.
Implementation:
Java
// Java program to demonstrate colored// to green coloured image conversion import java.awt.image.BufferedImage;import java.io.File;import java.io.IOException;import javax.imageio.ImageIO; public class GreenImage { public static void main(String args[]) throws IOException { BufferedImage img = null; File f = null; // read image try { f = new File( "C:/Users/hp/Desktop/Image Processing in Java/gfg-logo.png"); img = ImageIO.read(f); } catch (IOException e) { System.out.println(e); } // get width and height int width = img.getWidth(); int height = img.getHeight(); // convert to green image 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 g = (p >> 8) & 0xff; // set new RGB // keeping the g value same as in original // image and setting r and b as 0. p = (a << 24) | (0 << 16) | (g << 8) | 0; img.setRGB(x, y, p); } } // write image try { f = new File( "C:/Users/hp/Desktop/Image Processing in Java/GFG.png"); ImageIO.write(img, "png", f); } catch (IOException e) { System.out.println(e); } }} |
Output –
Note: This code will not run on an online IDE as it needs an image on a disk.
Converting to Blue Colored Image
Algorithm
- Get the RGB value of the pixel.
- Set the RGB values as follows:
- R: Set to 0
- G: Set to 0
- B: NO CHANGE
- Replace the R, G, and B values of the pixel with the values calculated in step 2.
- Repeat Step 1 to Step 3 for each pixel of the image.
Implementation
Java
// Java program to demonstrate colored// to blue coloured image conversion import java.awt.image.BufferedImage;import java.io.File;import java.io.IOException;import javax.imageio.ImageIO; public class BlueImage { public static void main(String args[]) throws IOException { BufferedImage img = null; File f = null; // read image try { f = new File( "C:/Users/hp/Desktop/Image Processing in Java/gfg-logo.png"); img = ImageIO.read(f); } catch (IOException e) { System.out.println(e); } // get width and height int width = img.getWidth(); int height = img.getHeight(); // convert to blue image 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 b = p & 0xff; // set new RGB // keeping the b value same as in original // image and setting r and g as 0. p = (a << 24) | (0 << 16) | (0 << 8) | b; img.setRGB(x, y, p); } } // write image try { f = new File( "C:/Users/hp/Desktop/Image Processing in Java/GFG.png"); ImageIO.write(img, "png", f); } catch (IOException e) { System.out.println(e); } }} |
Output –
Note: This code will not run on an online IDE as it needs an image on a disk.
This article is contributed by Pratik Agarwal. If you like Lazyroar and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. See your article appearing on the Lazyroar main page and help other Geeks. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
