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HSV(HSB) to LCHuv(cielchuv) 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.

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.

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