YcCbcCrc to LUV(cieluv,cie1976) Converter - Color Space Converter

Also known as the YcCbcCrc color space.There are 3 channels in total, Yc,range from 0 to 1.Cbc,range from -0.5 to 0.5.Crc,range from -0.5 to 0.5.

The YcCbcCrc color space is based on the traditional YCbCr color space, optimized for chrominance components of High Definition Television (HDTV) signals to accommodate video signals of different resolutions during transmission and processing.

YcCbcCrc uses a component representation method similar to YCbCr, usually including a luminance component Yc and two chrominance components Cbc and Crc. The difference lies in the scaling factors for Cbc and Crc, which are adjusted according to different HDTV standards. In 8-bit video signals, the range of values for Yc, Cbc, and Crc may vary depending on the standard.

This color space is primarily used in professional video production and editing, excelling in video compression and broadcast transmission, especially when dealing with high-definition video signals.

YcCbcCrc adapts to higher resolution video signals with different scaling and offset compared to standard YCbCr. This can improve the representation of chrominance signals, particularly during color conversion and color grading processes.

Also known as the LUV(cieluv,cie1976) color space.There are 3 channels in total,lightness,range from 0 to 100.u,range from -134 to 224.v,range from -140 to 122.

Developed by the International Commission on Illumination (CIE) in 1976 as a uniform color space that would more accurately reflect human visual perception.

Commonly known as CIELUV, the space is also referred to as L*u*v* or LUV.

Color in the CIELUV space is expressed with three coordinates: L* for lightness, u* for the green-red chromaticity component, and v* for the blue-yellow chromaticity component.

CIELUV is used in various industries where accurate color reproduction is needed, such as color printing, in the manufacturing of textiles and plastics, and in color television broadcasting.

The CIELUV color space is especially useful for applications that require taking into account the conditions under which colors are viewed, including the effects of different types of lighting on color appearance.