Color depth and Single-precision floating-point format

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Color depth and Single-precision floating-point format

Color depth vs. Single-precision floating-point format

Color depth or colour depth (see spelling differences), also known as bit depth, is either the number of bits used to indicate the color of a single pixel, in a bitmapped image or video frame buffer, or the number of bits used for each color component of a single pixel. Single-precision floating-point format is a computer number format, usually occupying 32 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point.

Similarities between Color depth and Single-precision floating-point format

Color depth and Single-precision floating-point format have 1 thing in common (in Unionpedia): Floating-point arithmetic.

Floating-point arithmetic

In computing, floating-point arithmetic is arithmetic using formulaic representation of real numbers as an approximation so as to support a trade-off between range and precision.

Color depth and Floating-point arithmetic · Floating-point arithmetic and Single-precision floating-point format · See more »

The list above answers the following questions

What Color depth and Single-precision floating-point format have in common
What are the similarities between Color depth and Single-precision floating-point format

Color depth and Single-precision floating-point format Comparison

Color depth has 92 relations, while Single-precision floating-point format has 60. As they have in common 1, the Jaccard index is 0.66% = 1 / (92 + 60).

References

This article shows the relationship between Color depth and Single-precision floating-point format. To access each article from which the information was extracted, please visit:

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