What are indexed image?
Explore the definition and structure of indexed images. Learn why they are used in certain applications, how they utilize colormaps, and practical examples.
Explore the definition and structure of indexed images. Learn why they are used in certain applications, how they utilize colormaps, and practical examples.
Here's a simplified explanation of why you'd use an indexed image, in easier language:
Imagine an image as a grid of tiny dots (pixels).
Reason 1: Saving Space (Smaller File Size)
Normal (True Color) Images: For every single dot, your computer stores its exact color by mixing Red, Green, and Blue (RGB). This is like saying, "This dot is (255, 0, 0)
for red, this dot is (0, 255, 0)
for green," and so on. This takes up a lot of space in memory or on your hard drive because each dot needs three pieces of color information.
Indexed Images: If your image doesn't use a huge variety of colors (say, only 256 different colors), you can be smarter about it.
Example: A 500x500 image.
Reason 2: Easy Color Changes (Flexibility)
This makes it super easy to change the look of your image without actually redrawing or re-encoding the image itself.
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