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HSV(HSB) to HCY Converter - Color Space Converter

HSV(HSB) color space introduction

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.

HCY color space introduction

Also known as the HCY color space.There are 3 channels in total,hue,range from 0 to 360.chroma,range from 0 to 100.luminance,range from 0 to 255.
The HCY color space represents colors in terms of hue, chroma (colorfulness relative to brightness), and luma (brightness or luminance), offering an alternative to color spaces like HSL and HSV.
Known as the HCY color space.
Colors are defined by hue (H), chroma (C), and luma (Y), with luma (Y) being a representation of brightness that corresponds more closely to human visual perception.
The HCY color space is often used in applications where the perception of color brightness is important, such as video and image processing, and user interface design.
Compared to HSL or HSV, HCY offers a representation of colors that aligns more with human perception of brightness, especially effective during color transformation and adjustment.

You might also want to convert HSV color space to these formats: