LAB(cielab) to YUV(EBU) Converter - Color Space Converter

Also known as the LAB(cielab) color space.There are 3 channels in total, lightness,range from 0 to 100.a,range from -100 to 100.b,range from -100 to 100.

Defined by the International Commission on Illumination (CIE) in 1976, as an improvement and extension of the CIE XYZ color space, designed to be a closer approximation to human visual non-linearity.

Commonly known as CIELAB color space, abbreviated as L*a*b* or Lab.

Lab colors are typically represented by three coordinates: L* for lightness, a* for green to red chromaticity, and b* for blue to yellow chromaticity. They can be algorithmically converted to other color spaces for display or printing on different devices.

The Lab color space is extensively used in color measurement and management, particularly important in fields requiring precise color matching and assessment such as digital printing, photography, image analysis, and industrial color testing.

The advantage of the Lab color space lies in its device independence, allowing for consistent and accurate color conversion across different devices and software.

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.