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HSV(HSB) to OSA-UCS 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.

OSA-UCS color space introduction

Also known as the OSA-UCS color space.There are 3 channels in total,L,range from -10 to 8.j,range from -6 to 12.g,range from -10 to 6.
The OSA-UCS color space was developed by the Optical Society of America in the 1970s with the goal of creating a color space that provided a more uniform appearance than the CIE 1931 XYZ color space.
The OSA-UCS color space, also known as the Optical Society of America Uniform Color Scale.
Colors in the OSA-UCS color space are represented by three parameters: lightness (L), hue (J), and chroma (g).
OSA-UCS is used in the field of visual sciences for the research and precise measurement of color differences due to its uniformity.
The application of the OSA-UCS color space is relatively limited in the commercial sector, primarily because it is more complex to calculate and not as widely used as the CIELAB color space.

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