Wednesday, February 24, 2010

How to Split an Image into Chunks - Java ImageIO

Image splitting and concatenating and other image manipulation techniques are important in parallel computing. Say we are receiving small chunks of an Image which is being manipulated parallely. In such scenarios, we need to concatenate those chunks together and vice versa.

There is a pretty straight forward way to split an image using Java imageio package. Say you need to split following image into several chunks (you should decide the no. of rows and columns needed).















Now I am going to split this image into 16 chunks (4 rows and 4 columns). I have shown the code snippet below.

import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.*;
import java.awt.*;

public class ImageSplitTest {
    public static void main(String[] args) throws IOException {

        File file = new File("bear.jpg"); // I have bear.jpg in my working directory
        FileInputStream fis = new FileInputStream(file);
        BufferedImage image = ImageIO.read(fis); //reading the image file

        int rows = 4; //You should decide the values for rows and cols variables
        int cols = 4;
        int chunks = rows * cols;

        int chunkWidth = image.getWidth() / cols; // determines the chunk width and height
        int chunkHeight = image.getHeight() / rows;
        int count = 0;
        BufferedImage imgs[] = new BufferedImage[chunks]; //Image array to hold image chunks
        for (int x = 0; x < rows; x++) {
            for (int y = 0; y < cols; y++) {
                //Initialize the image array with image chunks
                imgs[count] = new BufferedImage(chunkWidth, chunkHeight, image.getType());

                // draws the image chunk
                Graphics2D gr = imgs[count++].createGraphics();
                gr.drawImage(image, 0, 0, chunkWidth, chunkHeight, chunkWidth * y, chunkHeight * x, chunkWidth * y + chunkWidth, chunkHeight * x + chunkHeight, null);
                gr.dispose();
            }
        }
        System.out.println("Splitting done");

        //writing mini images into image files
        for (int i = 0; i < imgs.length; i++) {
            ImageIO.write(imgs[i], "jpg", new File("img" + i + ".jpg"));
        }
        System.out.println("Mini images created");
    }
}

 Parameter list of "drawImage()" (See line 28)
--   image - The source image
--   0, 0  - X,Y coordinates of the 1st corner of destination image
--   chunkWidth, chunkHeight - X,Y coordinates of the opposite corner of destination image 
--   chunkWidth * y, chunkHeight * x - X,Y coordinates of the 1st corner of source image block
--   chunkWidth * y + chunkWidth, chunkHeight * x + chunkHeight - X,Y coordinates of 
             the opposite corner of source image block

Now you'll see 16 image chunks formed in your working directory.


379 comments:

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To enhance the article, it could include code examples or explanations of different use cases where splitting images into chunks can be beneficial, providing readers with a broader perspective on its applications.
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Data Analytics Courses in Mumbai said...

thank you for sharing this blog. I found it really interesting and helpful
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Advisor Uncle said...

I agree, image splitting and concatenating are important techniques in parallel computing. They can be used to speed up the processing of images by dividing the work into smaller tasks that can be executed in parallel.

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Divya Sharma said...

I acknowledge and appreciate the efforts of author for sharing the knowledge and expertise. It will greatly benefit the programming community. Thank you.
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Pratyaksha said...

It's a valuable technique for optimizing website performance and handling large images efficiently. Thanks for sharing this practical knowledge.
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Surabhi said...

Kalani's Tech Blog provides an excellent guide on splitting images into chunks using Java ImageIO. Understanding image manipulation is crucial in today's tech-driven world. As you explore these skills, considering Data Analytics courses in Glasgow can provide you with broader insights into data-driven image analysis, expanding your capabilities in diverse fields.
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Nice!
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IIM skills said...

This article is a goldmine of information. Thanks for the insights!

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"Your blog post serves as a comprehensive guide

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Digital marketing said...

I was captivated by your storytelling in this post. It made the subject so easy to understand.

Riya Malhotra said...

This blog provides a useful Java code snippet for splitting an image into multiple chunks, which is essential for parallel image manipulation. The code is clear and well-structured, making it easy to follow for developers looking to perform similar tasks. The author effectively explains the process, step by step, and the parameter list for the "drawImage()" method is a helpful addition. The code's ability to split an image into 16 chunks, with 4 rows and 4 columns, showcases its practicality. It serves as a valuable resource for anyone working with image processing in Java.
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sayaniimskillseo said...

was looking for this for few days, thanks for posting. very helpful.
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Very good in coding part. easy to understand. Digital Marketing Courses In Bahamas

mahima chaudhary said...

Big thanks for your Java ImageIO guide on splitting images into chunks! Your clear instructions and code snippets made a seemingly daunting task surprisingly straightforward. Your expertise is a valuable resource for developers. Much appreciated!

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Prachi Kochhar said...

This Java code using the ImageIO package demonstrates how to split an image into multiple chunks. It reads an image file, specifies the number of rows and columns for splitting, and then creates and saves the resulting image chunks. The `drawImage()` method is crucial for drawing the image chunks, with detailed comments explaining its parameters. This code is valuable for parallel processing of image data.
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digital marketing course in norwich said...

Your recent blog post on "How to Split an Image into Chunks - Java ImageIO" is a true lifesaver for developers looking to delve into image manipulation in Java. The step-by-step guide you've provided is not only thorough but also incredibly practical, offering a hands-on approach to a task that's often considered complex.
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nandni said...

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Wonderful post!

DMC in Bhutan said...

Thank you for providing fantastic and excellent guidance on How to Split an Image into Chunks - Java ImageIO.
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Digital marketing tips for small businesses said...

Fantastic Java tutorial! Your clear code and explanation make image splitting a breeze. Thanks for simplifying a potentially complex task. Kudos.

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Gogou Misao said...

Awesome tip. Just what I needed.
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AISHWARYA SHARMA said...

Thanks for the post. This is EXACTLY what I've been looking for.

Investment banking said...

The blog post provides fantastic tutorial on How to Split an Image into Chunks.
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Investment Banking Industry said...

Your Java ImageIO tutorial on splitting images into chunks is a lifesaver for parallel computing. The code is clear, and your explanations are insightful. Thanks for sharing!

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Muskan said...

The blog provides a clear and concise tutorial on how to split an image into chunks using Java ImageIO.
Also Read: Java's Journey: Unveiling Features and Pondering Its Future Scope

Bhavya said...

Great tutorial! The step-by-step instructions on how to split an image into chunks are clear and easy to follow. The use of code snippets and explanations makes it accessible for both beginners and more experienced users. The visual aids provided also enhance the understanding of the process. I appreciate the practical examples and tips shared throughout the tutorial, making it a valuable resource for anyone looking to work with image processing and manipulation. Overall, well-written and informative – a thumbs up!
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Santosh said...

Thanks for sharing this Java ImageIO method to split images! This could be super handy in parallel computing scenarios. Your step-by-step breakdown with code snippets makes it quite understandable for beginners too. Looking forward to exploring more technical insights on your blog. Investment banking vs transaction services

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Very informative blog, really enjoyed reading it. Also do check out Year Round marketing strategy

aaravgupta said...

Hey there! I just read your blog post about splitting an image into chunks. It's such a cool technique! I love how it can help optimize image loading and enhance user experience. Thanks for sharing this helpful tutorial with us!
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nandni said...

Thanks for sharing the valuable information. Your article gave me a lot of information. Keep sharing like this.
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Thanks for the informative blog! The steps for splitting the image into chunks are so easy to follow.
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Thank you for sharing this wonderful post!
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