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HSV(HSB) to HSLuv(HuSL) Converter - Color Space Converter

HSV(HSB) color space introduction

Also known as the HSV(HSB) color space.There are 3 channels in total, hue,range from 0 to 360.saturation,range from 0 to 100.value,range from 0 to 100.
Origin: The HSV color space was invented in the 1970s with the goal of combining an intuitive understanding of color with the needs of digital color processing.
Main Names: HSV or HSB (where B stands for Brightness), which includes three color channels H (Hue), S (Saturation), and V (Value/Brightness).
Typically expressed as a triplet, for example: hsv(120, 100%, 100%) represents a pure green color with maximum saturation and brightness.
Usage: Used in color detection and segmentation in image analysis and processing, color selection and adjustment in graphic design software, and in color pickers in user interface design.
Additionally, HSV can be algorithmically converted to and from RGB. The HSV model is highly intuitive for color adjustments, allowing users to independently alter the perceptual attributes of color. HSV is similar to HSL, but HSV's Value (V) takes into account the effects of hue and saturation, while HSL's Lightness (L) represents the midpoint between pure black and pure white.

HSLuv(HuSL) color space introduction

Also known as the HSLuv(HuSL) 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.
HSLuv is a human-friendly alternative to the CIELUV color space, designed to provide a more perceptually uniform color mapping while retaining the convenience of the HSL representation.
Known as the HSLuv color space.
Colors are represented by three parameters: hue (H), saturation (S), and lightness (L), attempting to maintain perceptual uniformity of saturation across the hue circle.
HSLuv is commonly used in fields requiring intuitive color selection and perceptual uniformity, such as user interface design and artistic creation.
HSLuv adjusts the hue circle of HSL to achieve the goal of maintaining color perceptual uniformity across different levels of lightness.

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