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RGB(sRGB) to HCY 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.

HCY color space introduction

Also known as the HCY color space.There are 3 channels in total,hue,range from 0 to 360.chroma,range from 0 to 100.luminance,range from 0 to 255.
The HCY color space represents colors in terms of hue, chroma (colorfulness relative to brightness), and luma (brightness or luminance), offering an alternative to color spaces like HSL and HSV.
Known as the HCY color space.
Colors are defined by hue (H), chroma (C), and luma (Y), with luma (Y) being a representation of brightness that corresponds more closely to human visual perception.
The HCY color space is often used in applications where the perception of color brightness is important, such as video and image processing, and user interface design.
Compared to HSL or HSV, HCY offers a representation of colors that aligns more with human perception of brightness, especially effective during color transformation and adjustment.

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