HSV(HSB) to RGB(sRGB) Converter - Color Space Converter

Also known as the HSV(HSB) color space.There are 3 channels in total, hue,range from 0 to 360.saturation,range from 0 to 100.value,range from 0 to 100.

Origin: The HSV color space was invented in the 1970s with the goal of combining an intuitive understanding of color with the needs of digital color processing.

Main Names: HSV or HSB (where B stands for Brightness), which includes three color channels H (Hue), S (Saturation), and V (Value/Brightness).

Typically expressed as a triplet, for example: hsv(120, 100%, 100%) represents a pure green color with maximum saturation and brightness.

Usage: Used in color detection and segmentation in image analysis and processing, color selection and adjustment in graphic design software, and in color pickers in user interface design.

Additionally, HSV can be algorithmically converted to and from RGB. The HSV model is highly intuitive for color adjustments, allowing users to independently alter the perceptual attributes of color. HSV is similar to HSL, but HSV's Value (V) takes into account the effects of hue and saturation, while HSL's Lightness (L) represents the midpoint between pure black and pure white.

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.