Can you help me separate Yuv values into Y, r-g, and b-y opponent channels for fourier analysis?
Given Yu’v’ values you already have the most important separation done. That is the separation of luminance, Y, from the chromatic components, u’v’. Since this is a linear space, you could perform your Fourier analysis direclty on the Yu’v’ dimensions. Unfortunately u’ and v’ do not correspond directly to red-green and yellow-blue opponent dimensions. It turns out that the perceptual unique hues are not orthogonal to one another in any linear color space, so their is no easy answer. There are a variety of other color spaces used for this type of analysis and they all have their advantages and disadvantages. YCbCr is one such space used in digital video. I would suggest you look at chapters 21-26 of Charles Poynton’s “Digital Video and HDTV: Algorithms and Interfaces” book for more details on some of these color spaces and transformations.
Related Questions
- Beyond the normal metrics of advertising equivalency, Gross Impressions, etc., how else can PSA values help a non-profit?
- Can you help me separate Yuv values into Y, r-g, and b-y opponent channels for fourier analysis?
- How can channels of communication be improved to help the implementation of good practices?
