Rasterize converts an image from

Rasterize converts an image from

• A. Pixels to mathematical calculations
• B. A color model to grayscale
• C. A vector path to a stroke
• D. From mathematical calculations to pixels

Answer: (D)

Rasterization is about turning vector information, which is defined by mathematical calculations for shapes, paths, and text, into a grid of colored pixels. Vectors are scalable and maintain crisp edges because they’re described mathematically; when you rasterize, those mathematical definitions are sampled and converted into a bitmap where each pixel has a specific color value. That’s why the correct idea is transforming from mathematical calculations to pixels. The other options describe different processes: turning existing pixels into math would be vectorization, converting color to grayscale is a color model change, and converting a vector path to a stroke is part of rendering vectors but doesn’t capture the full idea of rasterizing into a pixel grid.

Rasterization is about turning vector information, which is defined by mathematical calculations for shapes, paths, and text, into a grid of colored pixels. Vectors are scalable and maintain crisp edges because they’re described mathematically; when you rasterize, those mathematical definitions are sampled and converted into a bitmap where each pixel has a specific color value. That’s why the correct idea is transforming from mathematical calculations to pixels. The other options describe different processes: turning existing pixels into math would be vectorization, converting color to grayscale is a color model change, and converting a vector path to a stroke is part of rendering vectors but doesn’t capture the full idea of rasterizing into a pixel grid.