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LABh(hunter-lab,hlab) to YCgCo Converter - Color Space Converter

LABh(hunter-lab,hlab) color space introduction

Also known as the LABh(hunter-lab,hlab) color space.There are 3 channels in total, lightness,range from 0 to 100.a,range from -128 to 128.b,range from -128 to 128.
Developed by Richard S. Hunter in the 1940s as a color scale based on opponent-color theory. It is an adaptation of the CIE XYZ color space to be more perceptually linear.
Often referred to as Hunter Lab, or Lab Hunter.
Colors in the Hunter Lab color space are expressed through three coordinates: L (for lightness), a (red/green value), and b (blue/yellow value). These are calculated from CIE XYZ using Hunter's specific equations.
Hunter Lab is used in various industries for color matching, quality control, and other applications where a perceptually linear space is beneficial for color difference measurement.
Although similar to CIELAB, the Hunter Lab color space is used less frequently in contemporary applications. However, it remains significant in industries that adopted it early on and continue to rely on its specific color-rendering properties.

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 LABh color space to these formats: