HEX to HSP Converter - Color Space Converter

Also known as the HEX color space.

Source: Hexadecimal color codes originated from early computer graphic design, where there was a need for a concise way to represent colors. Since each RGB channel can have 256 possible values (ranging from 0 to 255), they can be represented as a two-digit hexadecimal number.

Primary name: Hexadecimal color code

It is represented using 6 hexadecimal characters, typically prefixed with '#'. For instance, red can be represented as #FF0000; the first two characters represent the red channel, the middle two represent the green channel, and the last two represent the blue channel. Occasionally, there might be 8 characters where the first two represent transparency (alpha channel), but this is not standard.

Usage: Mainly used in web design and CSS style definitions, but also in other scenarios where a quick and concise representation of color is required.

Pros: Hexadecimal color codes offer a compact representation of colors, making it very suitable for web and coding environments. Cons: To the general public, hexadecimal codes might not be as intuitive as other methods. For instance, seeing #FFA07A might not immediately suggest the color light salmon to most people.

Also known as the HSP color space.There are 3 channels in total,hue,range from 0 to 360.saturation,range from 0 to 100.perceived_brightness,range from 0 to 255.

The HSP color space is designed to represent the perceived brightness of colors more accurately than traditional RGB or HSL color models, taking into account the nonlinear sensitivity of human eyes to different color wavelengths.

HSP color space.

In the HSP color space, colors are expressed through Hue (H), Saturation (S), and Perceived brightness (P), where perceived brightness is calculated using specific weights for the RGB channels that mimic the human eye's response to red, green, and blue.

The HSP color space is commonly used in applications that require an accurate reflection of color brightness perception, such as image processing and user interface design.

The HSP color space can provide a brightness representation that is closer to human visual perception, especially when adjusting the lightness and darkness of colors.