Digital Design Practice Test

Vector images remain clear when scaled to larger sizes primarily because their formulas are recalculated. Vector graphics are created using mathematical equations and geometric primitives, such as points, lines, and curves, which define the shapes and colors. When a vector image is enlarged, the software responsible for displaying the image recalculates these mathematical representations to create a larger version without any loss in quality or clarity. This is fundamentally different from bitmap images, which are composed of a grid of pixels; scaling a bitmap image larger results in pixelation or blurriness because the fixed number of pixels is stretched over a larger area.

While it's true that vector images do not lose resolution during scaling, the actual key reason for their clarity lies in their nature of being defined by calculations rather than fixed pixel data. Simply put, this recalculation allows vector graphics to maintain their visual fidelity regardless of size adjustments. Additionally, the way they store information differs significantly from bitmap images; although this is relevant, the process of formula recalculation is what directly enables their scalability without degradation.