HSV(HSB) to YCgCo 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 YCgCo color space.There are 3 channels in total,Y,range from 0 to 1.Cg,range from -0.5 to 0.5.Co,range from -0.5 to 0.5.

Origin: The YCgCo color space was designed for digital video processing to provide a simple and reversible color transformation method, serving as an approximation of the YCbCr color space.

Primary Names: YCgCo color space, where 'Y' represents the luminance component, 'Cg' stands for the green difference component, and 'Co' represents the red-blue difference component.

Typically expressed as a triplet, for example: YCgCo(0.5, -0.25, 0.25) represents a color with specific luminance and chromatic differences.

Usage Scope: Mainly used in image coding and digital video processing, for example, it is applied in encoding standards such as JPEG XR and H.264/MPEG-4 AVC.

Additionally, due to the simple conversion process of YCgCo, it supports efficient hardware implementation and can be losslessly transformed back to the RGB format.