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HSP to YUV(EBU) Converter - Color Space Converter

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.

YUV(EBU) color space introduction

Also known as the YUV(EBU) color space.There are 3 channels in total,Y,range from 0 to 1.U,range from -0.5 to 0.5.V,range from -0.5 to 0.5.
Origin: The YUV color space was designed for analog video signal transmission, separating luminance information (Y) from chrominance information (U and V) to improve the efficiency of color transmission and ensure compatibility with black and white television.
Primary Names: YUV color space, where 'Y' represents the luminance component, and 'U' and 'V' represent the chrominance components, describing the difference in color from a reference white.
Typically expressed as a triplet, for example: YUV(0.5, -0.33, 0.25) represents a color with specific luminance and chrominance.
Usage Scope: Mainly used in analog video transmission and compression. In modern applications, YUV is common in digital video encoding and broadcasting, video editing software, and image processing.
Additionally, the YUV format is very effective in color processing to reduce bandwidth requirements because it allows the resolution of chrominance components to be reduced during transmission rather than luminance components, taking advantage of the human eye's greater sensitivity to luminance over chrominance changes.

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