YCbCr(YCC) to yes Converter - Color Space Converter

Also known as the YCbCr(YCC) color space.There are 3 channels in total, Y,range from 16 to 235.Cb,range from 16 to 240.Cr,range from 16 to 240.

The YCbCr color space was specifically designed for digital television and video compression standards like MPEG and JPEG, aiming to minimize data size while maintaining high-quality imagery during the compression process.

The primary name is YCbCr. It is often confused with YUV, although they are technically different.

The YCbCr color space is typically used in a digital format, expressed as a combination of three component values, like (Y, Cb, Cr). For 8-bit video signals, these components typically range from 16 to 235 for Y, and 16 to 240 for Cb and Cr.

YCbCr is predominantly used in digital video capture, processing, storage, and transmission. It forms the core color space for television broadcasting, DVD videos, and image compression standards such as JPEG.

In the YCbCr color space, Y represents the luminance component, while Cb and Cr represent the chrominance components of blue and red, separated from the Y component, allowing chroma subsampling to reduce data amount. As the human eye is more sensitive to luminance than to chrominance, this separation usually doesn't affect the viewing experience.

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.