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YCgCo to YUV(EBU) Converter - Color Space Converter

YCgCo color space introduction

Also known as the YCgCo color space.There are 3 channels in total, Y,range from 0 to 1.Cg,range from -0.5 to 0.5.Co,range from -0.5 to 0.5.
Origin: The YCgCo color space was designed for digital video processing to provide a simple and reversible color transformation method, serving as an approximation of the YCbCr color space.
Primary Names: YCgCo color space, where 'Y' represents the luminance component, 'Cg' stands for the green difference component, and 'Co' represents the red-blue difference component.
Typically expressed as a triplet, for example: YCgCo(0.5, -0.25, 0.25) represents a color with specific luminance and chromatic differences.
Usage Scope: Mainly used in image coding and digital video processing, for example, it is applied in encoding standards such as JPEG XR and H.264/MPEG-4 AVC.
Additionally, due to the simple conversion process of YCgCo, it supports efficient hardware implementation and can be losslessly transformed back to the RGB format.

YUV(EBU) color space introduction

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.

You might also want to convert YCgCo color space to these formats: