These controls globally affect the saturation and hue of the red, green, and blue signals. Manufacturers handle RGB video input signals with one of two design methods. Since an RGB input signal should have no need for color adjustments, the best design method is to leave the signal in RGB format and bypass the color decoder, sending the signal directly to the imaging device driver.
This is how RGB computer monitors function. This method disables the color decoder controls when an RGB signal is fed to the display. This method enables the color decoder controls when an RGB signal is fed to the display, which provides some marketing advantage but no technical advantage.
Moreover, this method degrades the high quality RGB input signal through the conversion to YCbCr, which becomes especially evident at close viewing distances. The Color aka Saturation, technically Chroma control increased or decreased the gain of both the Cb and Cr chroma channels in legacy analog color decoders, allowing the picture colorfulness to be increased or decreased.
In modern digital displays, the Color control modifies the color decoder matrix values to again increase or decrease the colorfulness of colors produced by the display. However, the color decoder Color control found in the user Picture menu does not directly adjust the saturation of image colors, as is commonly thought.
Instead, it adjusts the Chroma level of image colors. To understand the difference, imagine a fully saturated color object under bright illumination, with half of the object in shadow.
The half of the object in shadow is still fully saturated, but it is not as colorful as the brightly illuminated half of the object Fig. The shadowed side of the object is less bright and has a lower chroma level, with less colorfulness.
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Other MathWorks country sites are not optimized for visits from your location. Toggle Main Navigation. Search MathWorks. Open Mobile Search. YCrCb is a variation on the same color mapping. So don't look for an existing "intuitive" insight, which may not exist. Perhaps create your own by "learning" the chart and building some brand new neural connections that may not currently exist in your brain or something like that.
You could take rgb image and convert it to grayscale or you could convert every channel of the RGB to grayscale and they merge them into one channel. You will calculate average So in grayscale it is very light gray color. Now, if we would like to express the original colors towards the grayscale channel we would need 3 formulas for every color red, green, blue.
You would calculate difference of value R vs grayscale, G vs grayscale and B vs grayscale. But we can do the same with 3 channels. We can do small correction to the green channel. Let's calculate difference to green channel. So let's change R and B channels of this pixel by this difference. We just did gamma correction or all channels. Green channel values will be same as for grayscale image. So we do not calculate with green channel anymore. Green is "encoded" in the Y The rest of colors R,B , is also adjusted.
To simplify it yet more, it is like formula where you need to make addition for all three compounds. The differences which you get for red and blue are Cb and Cr. The characters just say that you compared Blue channel to chroma Channel and Red channel to Chromma channel. Hence Cb and Cr. Sign up to join this community. The best answers are voted up and rise to the top.
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