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

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

• A. Resolution in images
• B. Sample rate
• C. Colour depth
• D. ASCII

Answer: (C)

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.