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In RGB color space, HSL and HSV are two related representations of points that aim to express perceptual color relationships than RGB more appropriately while still being computationally straightforward. The acronyms HSL and HSV are hue, saturation, lightness, and value, respectively.
Alternatives to the RGB colour model, such as HSL (for hue, saturation, lightness) and HSV (for hue, saturation, value; also known as HSB, for hue, saturation, brightness), were developed in the 1970s by computer graphics researchers to be more in line with how human vision perceives color-making characteristics.
In these models, neutral colors that range from black at the bottom to white at the top form the central axis, around which colors of each hue are grouped in radial slices.
A color with the most value or brightness in HSV is comparable to shining white light on a colored object (for example, lighting a strong white light on a red object allows the object to still appear red, only brighter and more intense). In contrast, a color with the most lightness in HSL is pure white.
The HSL color model nonlinearly deforms the RGB color space. Let's examine a few programs that include it in their operations:
Applications that use both HSV and HSL:
HSL and HSV are defined mathematically by transformations between the r, g, and b coordinates of colors in RGB space and the h, s, l, and v coordinates of the HSL and HSV spaces.
Three primary colors are used in HSL color codes: red, green, and blue. Red is associated with warmth, while blue is associated with coolness. Green is associated with neutrality.
To use these color codes effectively, you must understand how each one works. Here's an overview of what each code means:
Red – Warmth
Green – Neutrality
Blue – Coolness
The HSL (hue, saturation, lightness) model has three different ways to represent color. They are as follows:
Web designers and developers use the first two, while print designers use the last.
You can calculate HSV by using the following formula:
HSV = (Number of days since last period) x (Number of episodes per day) / (Number of days in cycle)
HSV = Saturation x Value x Hue
HSV stands for hue saturation value. This is an indicator of how much color there is in a picture. A higher number means more color.
A high saturation means the color is very bright, while a low saturation means that the color appears dull.
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