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LCHuv(cielchuv) to HSL Converter - Color Space Converter

LCHuv(cielchuv) color space introduction

Also known as the LCHuv(cielchuv) color space.There are 3 channels in total, lightness,range from 0 to 100.chroma,range from 0 to 100.hue,range from 0 to 360.
Based on the CIELUV color space, proposed by the International Commission on Illumination (CIE) in 1976, it uses a cylindrical coordinate system instead of a rectangular one.
Commonly known as CIELCH_uv or LCH(uv), abbreviated as LCHuv.
The LCHuv color space expresses colors using lightness (L*), chroma (C*), and hue angle (h°), providing an intuitive way to describe colors.
The LCHuv color space is used in graphic and product design, especially suitable for color comparison and selection, and scenarios that require intuitive manipulation of colors.
The LCHuv color space is user-friendly for color selection based on hue and saturation, suitable for applications where the impact of lighting changes on color appearance needs to be considered.

HSL color space introduction

Also known as the HSL color space.There are 3 channels in total,hue,range from 0 to 360.saturation,range from 0 to 100.lightness,range from 0 to 100.
Origin: HSL stands for Hue, Saturation, and Lightness. It provides an intuitive way to describe colors, aligning closely with how we typically discuss color properties such as hue, saturation, and lightness.
Primary Name: HSL, which includes three color channels: H (Hue), S (Saturation), and L (Lightness).
It's usually represented as a triplet, for instance: hsl(120, 100%, 50%) indicates a pure green color with 100% saturation and 50% lightness.
Usage: HSL is used in computer graphics, image editing, and style design, especially in scenarios where there's a need for intuitive color property adjustments. In CSS, HSL is also used as one of the methods to define colors.
Additionally, it's worth noting that HSL has clear conversion formulas with RGB. While RGB is a commonly used color model in modern display technology, adjusting colors directly in RGB may not be as intuitive as in the HSL space. HSL is similar to HSV (Hue, Saturation, Value), but they differ slightly in how they describe color brightness or luminance.

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