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LCHuv(cielchuv) to UVW(cieuvw,cie1964) 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.

UVW(cieuvw,cie1964) color space introduction

Also known as the UVW(cieuvw,cie1964) color space.There are 3 channels in total,U,range from -134 to 224.V,range from -140 to 122.W,range from 0 to 100.
Developed by the CIE in 1964 as an improvement over the CIE 1960 UCS for better perceptual uniformity across different hues and lightness levels.
It is known as the CIE 1964 (U^*, V^*, W^*) color space, and commonly abbreviated as CIE UVW.
The color in the CIE UVW space is represented by three coordinates: (U^*), (V^*), and (W^*). These are calculated from the XYZ coordinates with a series of transformations intended to achieve a more uniform color space, taking into account the luminance factor.
The CIE UVW color space is used in specialized applications that require a uniform measure of color differences, such as in colorimetry research and the development of color standards.
The CIE UVW color space is less commonly used in practical applications today, having been largely replaced by more advanced color spaces like CIELAB and CIELUV, which offer better perceptual uniformity.

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