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YIQ to JPEG Converter - Color Space Converter

YIQ color space introduction

Also known as the YIQ color space.There are 3 channels in total, Y,range from 0 to 1.I,range from -0.5957 to 0.5957.Q,range from -0.5226 to 0.5226.
Origin: The YIQ color space was specifically designed for the North American NTSC color television standard to accommodate compatibility between color and monochrome television broadcasts.
Primary Names: YIQ color space, where 'Y' represents the luminance component, 'I' represents the in-phase component, and 'Q' represents the quadrature component.
Typically expressed as a triplet, for example: YIQ(0.5, 0.2, 0.3) represents a color with specific luminance and chromaticity.
Usage Scope: Mainly used in the North American NTSC (National Television System Committee) color television broadcasting system. Although less used in modern digital technology, it played a significant role during the era of analog television.
Additionally, the YIQ color space allows old black and white television receivers to receive and correctly display the luminance signal from color broadcasts without interference from the color information.

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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