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YCgCo to RGB(sRGB) 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.

RGB(sRGB) color space introduction

Also known as the RGB(sRGB) color space.There are 3 channels in total,red,commonly referred to as r,range from 0 to 255.green,commonly referred to as g,range from 0 to 255.blue,commonly referred to as b,range from 0 to 255.
Source: sRGB was jointly developed by Microsoft and Hewlett-Packard in 1996. Its purpose is to serve as a standard RGB color space, ensuring consistent color display across different devices and platforms.
Primary name is sRGB, also called Standard RGB, full name is Standard Red Green Blue.
Usage: sRGB is the most commonly used color space in everyday computer monitors, TVs, cameras, printers, etc. It is also the default color space for images, videos, and web pages on the internet.
Additionally, it's worth noting that sRGB has a specific gamma value (around 2.2), which results in a non-linear relationship between low and high brightness levels. This non-linearity is beneficial for human visual perception as it provides more color details in darker areas.

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