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The HSV, or HSB, model describes colors in terms of hue, saturation, and value (brightness). Note that the range of values for each attribute is arbitrarily defined by various tools or standards. Be sure to determine the value ranges before attempting to interpret a value.
It is able to store a wider range of color values than sRGB. The Wide Gamut color space is an expanded version of the Adobe RGB color space, developed in 1998. As a comparison, the Adobe Wide Gamut RGB color space encompasses 77.6% of the visible colors specified by the Lab color space, whilst the standard Adobe RGB color space covers just 50.6%.
Fig. 1. HSL (a–d) and HSV (e–h). Above (a, e): cut-away 3D models of each. Below: two-dimensional plots showing two of a model's three parameters at once, holding the other constant: cylindrical shells (b, f) of constant saturation, in this case the outside surface of each cylinder; horizontal cross-sections (c, g) of constant HSL lightness or HSV value, in this case the slices halfway ...
HSV is a transformation of an RGB color space, and its components and colorimetry are relative to the RGB color space from which it was derived. HSL ( h ue, s aturation, l ightness/ l uminance), also known as HLS or HSI (hue, saturation, i ntensity) is quite similar to HSV , with "lightness" replacing "brightness".
As most definitions of color difference are distances within a color space, the standard means of determining distances is the Euclidean distance.If one presently has an RGB (red, green, blue) tuple and wishes to find the color difference, computationally one of the easiest is to consider R, G, B linear dimensions defining the color space.
English: HSV-RGB-comparison. Created with Inkscape. Succeeds en:Image:HSV_RGB_Comparison.png, and has the same license. A graphical representation of RGB coordinates given values for HSV. This equation () = shows origin of marked vertical axis values
Converting from RGB ↔ Munsell requires interpolating between that table's entries, and is extremely computationally expensive in comparison with converting from RGB ↔ HSL or RGB ↔ HSV which only requires a few simple arithmetic operations. [20] [21] [22] [23]
Side-by-side comparison of several different color solids for the HSL, HSV, and RGB color models. Potential shapes include cubes , cylinders , cones , spheres , pyramids , bipyramids , bicones , and irregular shapes.