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LAB(cielab) to ICTCP Converter - Color Space Converter

LAB(cielab) color space introduction

Also known as the LAB(cielab) color space.There are 3 channels in total, lightness,range from 0 to 100.a,range from -100 to 100.b,range from -100 to 100.
Defined by the International Commission on Illumination (CIE) in 1976, as an improvement and extension of the CIE XYZ color space, designed to be a closer approximation to human visual non-linearity.
Commonly known as CIELAB color space, abbreviated as L*a*b* or Lab.
Lab colors are typically represented by three coordinates: L* for lightness, a* for green to red chromaticity, and b* for blue to yellow chromaticity. They can be algorithmically converted to other color spaces for display or printing on different devices.
The Lab color space is extensively used in color measurement and management, particularly important in fields requiring precise color matching and assessment such as digital printing, photography, image analysis, and industrial color testing.
The advantage of the Lab color space lies in its device independence, allowing for consistent and accurate color conversion across different devices and software.

ICTCP color space introduction

Also known as the ICTCP color space.There are 3 channels in total,I,range from 0 to 1.CT,range from -0.5 to 0.5.CP,range from -0.5 to 0.5.
The ICtCp color representation model was developed for high dynamic range (HDR) and wide color gamut (WCG) media, representing I (Intensity), Ct (Chroma of red-green), and Cp (Chroma of blue-yellow).
ICtCp color space.
In the ICtCp color space, colors are represented through Intensity (I), Chroma of red-green (Ct), and Chroma of blue-yellow (Cp).
ICtCp is primarily used for HDR and WCG video formats, intended to replace the YCbCr color space, offering better color difference encoding and improved efficiency for these advanced video applications.
The ICtCp color space is particularly suitable for handling HDR and WCG video content, providing a color representation that aligns more closely with human visual perception.

You might also want to convert LAB color space to these formats: