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Fundamentals of Digital Image Representation

Explains the basic building blocks of digital images, including pixels, color models (RGB), color depth, resolution, and pixel density. It differentiates between raster and vector graphics and provides methods for calculating image file size.

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At its most basic level, a digital image is a representation of a real-world image converted into a set of numbers. This numerical format allows a digital computer to store, process, and manipulate visual information. To understand how a computer "sees" a picture, we must look at the building blocks of digital imagery, from individual pixels to complex mathematical vectors.

The Building Blocks: Pixels and Color

The fundamental unit of a digital image is the pixel. A pixel is the smallest element in a picture, typically visualized as a tiny square that represents an individual color. When millions of these tiny squares are placed close together, the human eye ceases to see individual dots and instead perceives a continuous, coherent image.

To create color, digital devices use the RGB model. RGB is an acronym for Red, Green, and Blue, which are the primary colors of light used in an additive color model for electronic devices. By varying the intensity of these three colors within each pixel, a computer can represent a vast spectrum of visible colors.

Color Depth and Bit Depth

The variety of colors available in an image is determined by its Color Depth (also referred to as Bit Depth). This term describes the number of distinct colors each pixel in an image can display.

A higher bit depth means more information is stored per pixel, allowing for smoother color transitions and more realistic images, but it also increases the overall file size.

Resolution and Density

When discussing the quality and clarity of an image, two distinct concepts are often used: resolution and pixel density.

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