What term describes the density of the pixels in an image?

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Study for the OCR GCSE Computer Science Exam. Prepare with flashcards, multiple choice questions, and hints. Get exam-ready with practical questions and answers!

The term that describes the density of the pixels in an image is resolution. Resolution refers to the amount of detail that an image holds, typically measured in pixels. It is often expressed in terms of width and height, such as 1920x1080, which indicates the number of pixels in each dimension. A higher resolution means more pixels are packed into the same area, resulting in a clearer and more detailed image. This concept is crucial in fields such as photography, video production, and computer graphics, where image clarity and detail are important.

Color depth, while it relates to the number of colors that can be displayed in an image, does not specifically address pixel density. Clarity is a more subjective term that can encompass various factors affecting the quality of an image but does not specifically refer to pixel density. Bit rate refers to the amount of data processed over a given time in digital audio and video, and is not directly related to the density of pixels in an image. Thus, resolution is the most precise term for describing pixel density.

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