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YUV(EBU) to XYB Converter - Color Space Converter

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.

XYB color space introduction

Also known as the XYB color space.There are 3 channels in total,X,range from -0.0154 to 0.0281.Y,range from 0 to 0.8453.B,range from -0.2778 to 0.388.
The XYB color space was developed by Google as part of their JPEG XL image format. It's designed to be more efficient for compression and more aligned with human vision than traditional color spaces like RGB.
XYB color space.
In the XYB color space, colors are represented through X, Y, and B channels, with the Y channel representing luminance and X and B channels representing color information.
XYB is primarily used in the JPEG XL image format, suitable for enhancing image compression ratios and quality.
The XYB color space offers higher compression rates while maintaining image quality, making it very effective for web image transmission and storage.

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