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LAB(cielab) to JPEG 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.

JPEG color space introduction

Also known as the JPEG color space.There are 3 channels in total,Y,range from 0 to 255.Cb,range from 0 to 255.Cr,range from 0 to 255.
The JPEG standard was created by the Joint Photographic Experts Group and was officially published as an ISO standard in 1992.
JPEG, which stands for Joint Photographic Experts Group. The file format is typically .jpg or .jpeg.
The compression method involves transforming the image to a frequency domain using a Discrete Cosine Transform (DCT), quantizing the frequency components, and then encoding the result. JPEG images also support various levels of compression, which can be adjusted to balance image quality and file size.
JPEG is ubiquitous in digital photography, web graphics, and online image sharing due to its efficient compression methods.
JPEG uses a lossy compression technique, which means that some image quality is lost in the compression process, but the reduced file size is useful for storage and bandwidth considerations.

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