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LABh(hunter-lab,hlab) to HSP 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.

HSP color space introduction

Also known as the HSP color space.There are 3 channels in total,hue,range from 0 to 360.saturation,range from 0 to 100.perceived_brightness,range from 0 to 255.
The HSP color space is designed to represent the perceived brightness of colors more accurately than traditional RGB or HSL color models, taking into account the nonlinear sensitivity of human eyes to different color wavelengths.
HSP color space.
In the HSP color space, colors are expressed through Hue (H), Saturation (S), and Perceived brightness (P), where perceived brightness is calculated using specific weights for the RGB channels that mimic the human eye's response to red, green, and blue.
The HSP color space is commonly used in applications that require an accurate reflection of color brightness perception, such as image processing and user interface design.
The HSP color space can provide a brightness representation that is closer to human visual perception, especially when adjusting the lightness and darkness of colors.

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