HSL to yes Converter - Color Space Converter

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.

yes color space introduction

Also known as the yes color space.There are 3 channels in total,luminance,range from 0 to 1.e-factor,range from 0 to 1.s-factor,range from 0 to 1.
The Yes color space is a transformation of the XYZ color space designed to separate luminance information (Y) from the color information (E and S).
Yes color space.
In the Yes color space, colors are expressed through luminance (Y) and two color information channels (E and S), simplifying the representation of colors.
This color space is often used in image processing tasks where separation of luminance and chroma information is needed, such as image segmentation and feature extraction.
With its simplified representation, the Yes color space can offer intuitive color information for specific image processing applications like image enhancement and color feature analysis.

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