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What is Image Representation? Welcome to the World of Digital Images!

We take photos with our smartphones and view images on websites… we interact with digital images every day. But have you ever deeply considered how digital images are represented?

This article explains the basic concept of “image representation” in an easy-to-understand manner. We’ll introduce the mechanisms of image representation, its applications, and the benefits of learning it. Let’s step into the deep world of digital images together!

1. What is Image Representation?


Image representation is the method of expressing information from the real world as digital data that can be handled by a computer. Simply put, it’s the mechanism of “how images are recorded and displayed by a computer.”

Basic Elements of Image Representation:

・ Pixels: The smallest unit that makes up an image. They are small square dots.
・ Color: The color information held by each pixel. Commonly represented by a combination of RGB (Red, Green, Blue).
・ Resolution: The number of pixels contained in an image. The higher the resolution, the sharper the image.
・ Color Depth: The range of colors that each pixel can express. The higher the color depth, the richer the color representation.

Representative Image Representation Formats:

・ Raster Image: An image represented by a collection of pixels. JPEG, PNG, and GIF are representative examples.
・ Vector Image: An image represented by mathematical formulas and shapes. Created in programs like Illustrator, they don't lose quality when scaled.

Digital images faithfully reproduce information from the real world by combining these elements.

2. Where is it Used?


Knowledge of image representation is used in a variety of fields:

・ Photo & Video Production: Essential for improving the quality of photos and videos, including camera performance, settings, and editing methods.
・ Web Design: Useful for selecting appropriate image sizes and formats for websites, optimizing display speed.
・ Game Development: Important for creating graphics for characters and backgrounds in games, enhancing expressiveness.
・ Medical Image Processing: Used to analyze medical images such as CT and MRI scans, assisting in diagnosis.
・ Satellite Image Processing: Used to analyze images sent from satellites, monitoring changes in the Earth's environment.
・ AI & Machine Learning: Essential knowledge for developing AI technologies such as image recognition and image generation.

We can see that knowledge of image representation is used in various aspects of our lives.

3. What are the Benefits of Learning it?


There are many benefits to learning about image representation:

(1). Deeper Understanding of Digital Images: By understanding how digital images are represented, you can use images more effectively.
(2). Enhanced Expressiveness: You can improve your image editing skills and accurately convey the images you want to express.
(3). Improved Problem-Solving Skills: You can identify the causes of poor image quality and find appropriate solutions.
(4). Leads to Career Advancement: Digital image processing skills are in high demand in various fields, potentially leading to career advancement.
(5). Discovery of New Possibilities: Understanding the potential of digital images can lead to the discovery of new expression methods and technologies.

Image representation is a foundation for understanding digital technology and holds the potential to stimulate creativity.

In conclusion


Image representation is the method of expressing information from the real world as digital data that can be handled by a computer. There are many benefits to learning it, including a deeper understanding of digital images, enhanced expressiveness, and career advancement.


If you’ve become interested in the world of image representation, please refer to the following books! (access here)

 

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