The bit depth of an image affects its overall .

The depth of color representation is known as .

If an image has colors, the minimum number of bits needed to represent each pixel is [[4]].

Calculating bit depths involves determining the number of needed to represent color information.

In digital imaging, bit depth determines the range of that can be assigned to a pixel.

A greater bit depth allows for more gradations.

For an image with colors, the number of bits needed to represent each pixel is 8.

One of the cons of larger bit depths is the increased file .

Higher bit depths can make it easier to avoid in gradient images.

Higher bit depths result in higher in color representation.

The total number of colors that can be represented in an image is determined by the formula 2^ where n is the number of bits per pixel.

Larger bit depths can result in a greater level of in images.