Which term describes the number of bits used to represent each color in an image?

Unlock all questions

This demo includes only 20 questions. Upgrade to access hundreds of questions, flashcards, exam simulations, and disable ads.

Full question bankExam simulationsFlashcards
From $24.99Unlock all

Prepare for the IGCSE Algorithms and Pseudocode Exam. Study with comprehensive questions covering key algorithms and pseudocode techniques. Access hints and explanations to gear up for your exam success!

Multiple Choice

Which term describes the number of bits used to represent each color in an image?

Explanation:
Color depth is the number of bits used to store the color information for a single pixel. It decides how many distinct colors an image can display. For example, with 8 bits per color channel in an RGB image, each pixel has 24 bits of color data (8 red, 8 green, 8 blue), allowing about 16.7 million possible colors. More bits per pixel give smoother color gradients; fewer bits reduce the color variety and can cause banding. This is different from resolution, which is about how many pixels the image has, from sample rate, which is about how often data samples are taken, and from ASCII, which is text encoding.

Color depth is the number of bits used to store the color information for a single pixel. It decides how many distinct colors an image can display. For example, with 8 bits per color channel in an RGB image, each pixel has 24 bits of color data (8 red, 8 green, 8 blue), allowing about 16.7 million possible colors. More bits per pixel give smoother color gradients; fewer bits reduce the color variety and can cause banding. This is different from resolution, which is about how many pixels the image has, from sample rate, which is about how often data samples are taken, and from ASCII, which is text encoding.

More Multiple Choice Questions
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy