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JPEG to YUV(EBU) Converter - Color Space Converter

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.

YUV(EBU) color space introduction

Also known as the YUV(EBU) color space.There are 3 channels in total,Y,range from 0 to 1.U,range from -0.5 to 0.5.V,range from -0.5 to 0.5.
Origin: The YUV color space was designed for analog video signal transmission, separating luminance information (Y) from chrominance information (U and V) to improve the efficiency of color transmission and ensure compatibility with black and white television.
Primary Names: YUV color space, where 'Y' represents the luminance component, and 'U' and 'V' represent the chrominance components, describing the difference in color from a reference white.
Typically expressed as a triplet, for example: YUV(0.5, -0.33, 0.25) represents a color with specific luminance and chrominance.
Usage Scope: Mainly used in analog video transmission and compression. In modern applications, YUV is common in digital video encoding and broadcasting, video editing software, and image processing.
Additionally, the YUV format is very effective in color processing to reduce bandwidth requirements because it allows the resolution of chrominance components to be reduced during transmission rather than luminance components, taking advantage of the human eye's greater sensitivity to luminance over chrominance changes.

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