HSV(HSB) to LAB(cielab) 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 LAB(cielab) color space.There are 3 channels in total,lightness,range from 0 to 100.a,range from -100 to 100.b,range from -100 to 100.

Defined by the International Commission on Illumination (CIE) in 1976, as an improvement and extension of the CIE XYZ color space, designed to be a closer approximation to human visual non-linearity.

Commonly known as CIELAB color space, abbreviated as L*a*b* or Lab.

Lab colors are typically represented by three coordinates: L* for lightness, a* for green to red chromaticity, and b* for blue to yellow chromaticity. They can be algorithmically converted to other color spaces for display or printing on different devices.

The Lab color space is extensively used in color measurement and management, particularly important in fields requiring precise color matching and assessment such as digital printing, photography, image analysis, and industrial color testing.

The advantage of the Lab color space lies in its device independence, allowing for consistent and accurate color conversion across different devices and software.