HSV(HSB) to lms 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 lms color space.There are 3 channels in total,long,range from 0 to 100.medium,range from 0 to 100.short,range from 0 to 100.

The LMS color space is based on the response of the human eye's cone cells to color, consisting of the responses from three different types of cone cells which are most responsive to long, medium, and short wavelengths of light respectively.

LMS stands for Long, Medium, and Short wavelengths.

The LMS color space typically uses three coordinates to express colors, corresponding directly to the responses of the cone cells. This space is often used to calculate transformations to other color spaces that are perceptually closer to human vision, such as from RGB.

The LMS color space is primarily used in the fields of biology and vision science, particularly for simulating and understanding human visual perception.

Since LMS is based on physiological characteristics, it is not commonly used for practical applications such as image processing or color printing but serves as a research and theoretical model.