YIQ


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YIQ

(communication)
The method of representing colors in color television systems, where Y represents the luminosity, which is also the black-and-white signal, I represents red minus the luminosity, and Q represents blue minus the luminosity.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.

YIQ

The original color space used for encoding NTSC video in 1953, which was very similar to YUV. Only a small number of TV sets that decoded YIQ were ever manufactured, and it became obsolete. All NTSC encoding today is YUV. See YUV.
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luminance brightness (monochrome) of an image (e.g., Y or YUV or YIQ signal)
Transform color image CFVR from RGB color space to YIQ and estimation YFVR component and IQFVRcomponents.
R G B X Y Z 256 levels - - - - - Otsu (full image) + + + + + Kapur (full image) + + + - - Otsu (N=20) - + - - + Kapur (N=20) + - - - - Otsu (N=50) + + + - + Kapur (N=50) - + - - - Otsu (N=100) + + + - + Kapur (N=100) - + - - - Otsu (N=200) + + + + + + Kapur (N=200) + + - - - Otsu (N=500) + + + + + Kapur (N=500) + + + - - Otsu (N=1000) + + + + + Kapur (N=1000) + + + - - LAB YIQ YCbCr ASH 256 levels - - - Otsu (full image) + + + + Kapur (full image) - + + + Otsu (N=20) + - - Kapur (N=20) - - - + Otsu (N=50) + + + + Kapur (N=50) - - - + Otsu (N=100) + + + + Kapur (N=100) + + - Otsu (N=200) + + + + Kapur (N=200) + + + + Otsu (N=500) + + + + Kapur (N=500) + + + + Otsu (N=1000) + + + + Kapur (N=1000) - + + + TABLE II.
The size and shape of these ellipses vary in the color models used in image processing, including the HSI and YIQ models.
Assessment scores (MOS with confidence interval) for each video scene in all three tests: SS-1 (YPbPr), SS-2 (YCbCr) and SS-3 (YIQ) are presented in Fig.
Hence the conventional color spaces such as YIQ, YCbCr, L*a*b*, and HSV are more effective than original RGB color space at face recognition.
Nonetheless, most of the studies so far used the green (G) component of RGB color space for blood vessel recognition with some using luminance (Y) from YIQ color space [6].
There are many color spaces, some are designed for computer graphics, such as YIQ, HSV, HIS and GLHS (generalized LHS) (AO Linmi, et al., 2001).
Mali, "Comparative performance analysis of DWT-SVD based color image watermarking technique in YUV, RGB and YIQ color spaces," International Journal of Computer Theory and Engineering, vol.
Therefore, majority of color spaces (YCbCr, HSV, YUV, HSL, YIQ etc.) have been evolved or used for the identification of skin or non-skin pixels.
For example, in [10], Zhao and Xi introduced mean shift as a smooth filter for processing YIQ color images and compared it with Wiener filter.