YCbCr(YCC) to HSP 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 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.