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LAB(cielab) to YCgCo Converter - Color Space Converter

LAB(cielab) color space introduction

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.

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.

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