XYZ(ciexyz,cie1931,XYZ D65) to YUV(EBU) Converter - Color Space Converter

Also known as the XYZ(ciexyz,cie1931,XYZ D65) color space.There are 3 channels in total, X,range from 0 to 95.045592705167.Y,range from 0 to 100.Z,range from 0 to 108.9057750759878.

Origin: The XYZ color space was defined in 1931 by the International Commission on Illumination (CIE) based on the visual experiments conducted on a large number of observers.

Main Name: CIE 1931 XYZ color space, comprising the X, Y, Z color channels.

Usage: The XYZ color space is primarily used for color measurement, color science, and color conversions. It provides a neutral, device-independent reference for other color spaces, often serving as an intermediate color space for conversions.

Additionally, it's worth noting that the XYZ color space is frequently used as an intermediate step for converting from one device-dependent color space (like sRGB or Adobe RGB) to another. It is closely related to the Lab color space, where XYZ can be converted to Lab, offering a more uniform space for color comparisons and difference measurements.

Also known as the YUV(EBU) color space.There are 3 channels in total,Y,range from 0 to 1.U,range from -0.5 to 0.5.V,range from -0.5 to 0.5.

Origin: The YUV color space was designed for analog video signal transmission, separating luminance information (Y) from chrominance information (U and V) to improve the efficiency of color transmission and ensure compatibility with black and white television.

Primary Names: YUV color space, where 'Y' represents the luminance component, and 'U' and 'V' represent the chrominance components, describing the difference in color from a reference white.

Typically expressed as a triplet, for example: YUV(0.5, -0.33, 0.25) represents a color with specific luminance and chrominance.

Usage Scope: Mainly used in analog video transmission and compression. In modern applications, YUV is common in digital video encoding and broadcasting, video editing software, and image processing.

Additionally, the YUV format is very effective in color processing to reduce bandwidth requirements because it allows the resolution of chrominance components to be reduced during transmission rather than luminance components, taking advantage of the human eye's greater sensitivity to luminance over chrominance changes.