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HSV(HSB) to HSP 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.

HSP color space introduction

Also known as the HSP color space.There are 3 channels in total,hue,range from 0 to 360.saturation,range from 0 to 100.perceived_brightness,range from 0 to 255.
The HSP color space is designed to represent the perceived brightness of colors more accurately than traditional RGB or HSL color models, taking into account the nonlinear sensitivity of human eyes to different color wavelengths.
HSP color space.
In the HSP color space, colors are expressed through Hue (H), Saturation (S), and Perceived brightness (P), where perceived brightness is calculated using specific weights for the RGB channels that mimic the human eye's response to red, green, and blue.
The HSP color space is commonly used in applications that require an accurate reflection of color brightness perception, such as image processing and user interface design.
The HSP color space can provide a brightness representation that is closer to human visual perception, especially when adjusting the lightness and darkness of colors.

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