Share:

RGB(sRGB) to UCS(cie1960) 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.

UCS(cie1960) color space introduction

Also known as the UCS(cie1960) color space.There are 3 channels in total,U,range from 0 to 100.V,range from 0 to 100.W,range from 0 to 100.
Developed by the International Commission on Illumination (CIE) in 1960, it was intended to provide a uniform color scale that would more closely align with human vision.
The primary name is CIE 1960 UCS (Uniform Color Scale). It is also referred to as the CIE 1960 (u, v) chromaticity space.
Colors in the CIE 1960 UCS are expressed in terms of chromaticity coordinates 'u' and 'v' derived from the CIE XYZ color space, with the addition of a 'W' coordinate representing the luminance factor.
The CIE 1960 UCS is used for applications where a more perceptually linear color space is useful. It's often used in color research and for specifying the colors of light sources and illuminants.
The CIE 1960 UCS is an intermediate step towards the development of subsequent color spaces that are more perceptually uniform, such as CIELUV and CIELAB.

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