HSV(HSB) to ICTCP 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 ICTCP color space.There are 3 channels in total,I,range from 0 to 1.CT,range from -0.5 to 0.5.CP,range from -0.5 to 0.5.

The ICtCp color representation model was developed for high dynamic range (HDR) and wide color gamut (WCG) media, representing I (Intensity), Ct (Chroma of red-green), and Cp (Chroma of blue-yellow).

ICtCp color space.

In the ICtCp color space, colors are represented through Intensity (I), Chroma of red-green (Ct), and Chroma of blue-yellow (Cp).

ICtCp is primarily used for HDR and WCG video formats, intended to replace the YCbCr color space, offering better color difference encoding and improved efficiency for these advanced video applications.

The ICtCp color space is particularly suitable for handling HDR and WCG video content, providing a color representation that aligns more closely with human visual perception.