YPbPr(Y/PB/PR,YPRPB,PRPBY,PBPRY,Y/Pb/Pr,YPrPb,PrPbY,PbPrY,Y/R-Y/B-Y,Y(R-Y)(B-Y),R-Y,B-Y) to yes Converter - Color Space Converter

Also known as the YPbPr(Y/PB/PR,YPRPB,PRPBY,PBPRY,Y/Pb/Pr,YPrPb,PrPbY,PbPrY,Y/R-Y/B-Y,Y(R-Y)(B-Y),R-Y,B-Y) color space.There are 3 channels in total, Y,range from 0 to 1.Pb,range from -0.5 to 0.5.Pr,range from -0.5 to 0.5.

Origin: The YPbPr color space originates from analog television broadcasting and component video technology, designed to be compatible with black-and-white television while efficiently transmitting color information.

Primary Names: YPbPr color space, where 'Y' is for luminance, 'Pb' stands for the blue difference component, and 'Pr' represents the red difference component.

YPbPr is typically expressed as three separate signals, for example: YPbPr(0.6, 0.2, 0.15) representing specific luminance and color differences.

Usage Scope: It's primarily used for analog television signals and connecting devices such as DVD players, video game consoles, and home theater systems to TVs.

Additionally, YPbPr is designed to separate the luminance (Y) from the color information (Pb and Pr), which is beneficial for black-and-white displays and synchronization in analog transmission.

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.