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Keywords 🗝️
binary, image, bitmap, vector, pixel, bit, metadata resolution, megapixel.
Summary 📝
Computers store images as a grid of tiny squares called pixels. Each pixel has a colour, which is stored as a binary value. The number of bits used to store each pixel is called the colour depth—the more bits, the more colours can be used. The resolution is the number of pixels in the width and height of the image, which affects the image's detail. To calculate the file size of a bitmap image, you multiply the colour depth by the number of pixels. Image file sizes can be reduced using compression, but this may reduce quality. Understanding how images are stored helps us see how computers use binary data to show pictures clearly and efficiently.
Key Learning Points 📌
Images are made of small squares called pixels.
Each pixel’s colour is stored using binary numbers.
Colour depth is the number of bits used per pixel (more bits = more colours).
Resolution is the number of pixels in width × height (higher resolution = more detail).
File size = colour depth × number of pixels.
Image files can be made smaller using compression, which may affect quality.
More bits and higher resolution create bigger files but clearer images.