OKHSV to UVW(cieuvw,cie1964) Converter - Color Space Converter

Also known as the OKHSV color space.There are 3 channels in total, H,range from 0 to 360.S,range from 0 to 1.V,range from 0 to 1.

OKHSV is a color space designed by Björn Ottosson, derived from the OKLab color space. Like OKHSL, OKHSV is an adaptation of the traditional HSV (Hue, Saturation, Value) model, aiming to offer a more perceptually uniform approach to color representation than the standard HSV model.

OKHSV color space.

In the OKHSV color space, colors are represented by Hue (H), Saturation (S), and Value (V), aligning more closely with human color perception and making color adjustments more consistent and intuitive.

OKHSV is primarily used in applications requiring perceptual uniformity and intuitive color adjustments, such as image processing and user interface design.

Due to its perceptual uniformity, OKHSV is more intuitive and consistent for color adjustments, particularly suited for graphic design and user interface layouts.

Also known as the UVW(cieuvw,cie1964) color space.There are 3 channels in total,U,range from -134 to 224.V,range from -140 to 122.W,range from 0 to 100.

Developed by the CIE in 1964 as an improvement over the CIE 1960 UCS for better perceptual uniformity across different hues and lightness levels.

It is known as the CIE 1964 (U^*, V^*, W^*) color space, and commonly abbreviated as CIE UVW.

The color in the CIE UVW space is represented by three coordinates: (U^*), (V^*), and (W^*). These are calculated from the XYZ coordinates with a series of transformations intended to achieve a more uniform color space, taking into account the luminance factor.

The CIE UVW color space is used in specialized applications that require a uniform measure of color differences, such as in colorimetry research and the development of color standards.

The CIE UVW color space is less commonly used in practical applications today, having been largely replaced by more advanced color spaces like CIELAB and CIELUV, which offer better perceptual uniformity.