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YCbCr(YCC) to TSL Converter - Color Space Converter

YCbCr(YCC) color space introduction

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.

TSL color space introduction

Also known as the TSL color space.There are 3 channels in total,tint,range from 0 to 1.saturation,range from 0 to 1.lightness,range from 0 to 1.
The TSL color space represents Tint, Saturation, and Luminance, designed to separate the chromatic and achromatic components of a color image more effectively.
TSL color space.
In the TSL color space, colors are represented by three parameters: Tint (T), Saturation (S), and Luminance (L).
The TSL color space is particularly useful in image processing tasks such as segmentation and feature detection.
The TSL color space helps to improve the accuracy of color separation, offering specific advantages for processing complex images.

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