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RGB(sRGB) to UVW(cieuvw,cie1964) Converter - Color Space Converter

RGB(sRGB) color space introduction

Also known as the RGB(sRGB) color space.There are 3 channels in total, red,commonly referred to as r,range from 0 to 255.green,commonly referred to as g,range from 0 to 255.blue,commonly referred to as b,range from 0 to 255.
Source: sRGB was jointly developed by Microsoft and Hewlett-Packard in 1996. Its purpose is to serve as a standard RGB color space, ensuring consistent color display across different devices and platforms.
Primary name is sRGB, also called Standard RGB, full name is Standard Red Green Blue.
Usage: sRGB is the most commonly used color space in everyday computer monitors, TVs, cameras, printers, etc. It is also the default color space for images, videos, and web pages on the internet.
Additionally, it's worth noting that sRGB has a specific gamma value (around 2.2), which results in a non-linear relationship between low and high brightness levels. This non-linearity is beneficial for human visual perception as it provides more color details in darker areas.

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 RGB color space to these formats: