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YcCbcCrc to yes Converter - Color Space Converter

YcCbcCrc color space introduction

Also known as the YcCbcCrc color space.There are 3 channels in total, Yc,range from 0 to 1.Cbc,range from -0.5 to 0.5.Crc,range from -0.5 to 0.5.
The YcCbcCrc color space is based on the traditional YCbCr color space, optimized for chrominance components of High Definition Television (HDTV) signals to accommodate video signals of different resolutions during transmission and processing.
YcCbcCrc uses a component representation method similar to YCbCr, usually including a luminance component Yc and two chrominance components Cbc and Crc. The difference lies in the scaling factors for Cbc and Crc, which are adjusted according to different HDTV standards. In 8-bit video signals, the range of values for Yc, Cbc, and Crc may vary depending on the standard.
This color space is primarily used in professional video production and editing, excelling in video compression and broadcast transmission, especially when dealing with high-definition video signals.
YcCbcCrc adapts to higher resolution video signals with different scaling and offset compared to standard YCbCr. This can improve the representation of chrominance signals, particularly during color conversion and color grading processes.

yes color space introduction

Also known as the yes color space.There are 3 channels in total,luminance,range from 0 to 1.e-factor,range from 0 to 1.s-factor,range from 0 to 1.
The Yes color space is a transformation of the XYZ color space designed to separate luminance information (Y) from the color information (E and S).
Yes color space.
In the Yes color space, colors are expressed through luminance (Y) and two color information channels (E and S), simplifying the representation of colors.
This color space is often used in image processing tasks where separation of luminance and chroma information is needed, such as image segmentation and feature extraction.
With its simplified representation, the Yes color space can offer intuitive color information for specific image processing applications like image enhancement and color feature analysis.

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