YUV Color Coding
A CCD or a CMOS sensor alone is not able to detect the color of incident light. In reality, each pixel in the sensor simply detects the intensity of the incident light. But when a color pattern filter is applied to the sensor, each pixel becomes sensitive to only one color - red, green or blue. The following table shows the color arrangement of a “Bayer Pattern” filter on a sensor with a size of X x Y (with X and Y being multiples of 2).
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)
Since the arrangement of the colors in the Bayer pattern filter is known, a PC can use the raw information transmitted for the pixels to interpolate full RGB color information for each pixel in the sensor. Instead of using the raw sensor information, however, it is more common to use a color coding known as YUV. The block diagram below illustrates the process of conversion inside a Basler IEEE 1394 camera. To keep things simple, we assume that the sensor collects pixel data at an 8 bit depth.
![](data:image/png;base64,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)
As a first step, an algorithm calculates the RGB values for each pixel. This means, for example, that even if a pixel is sensitive to green light only, the camera gets full RGB information for the pixel by interpolating the brightness information from adjacent red and blue pixels. This is, of course, just an approximation of the real world. There are many algorithms for doing RGB interpretation and the complexity and calculation time of each algorithm will determine the quality of the approximation. Basler IEEE 1394 color cameras have an effective built-in algorithm for this RGB conversion.
A disadvantage of RGB conversion is that the amount of data for each pixel is inflated. If a single pixel normally has a depth of 8 bits, after conversion it will have a depth of 8 bits per color (red, green and blue) and will thus have a total depth of 24 bits.
YUV coding converts the RGB signal to an intensity component (Y) that ranges from black to white plus two other components (U and V) which code the color. The conversion from RGB to YUV is linear, occurs without loss of information and does not depend on a particular piece of hardware such as the camera. The standard equations for accomplishing the conversion from RGB to YUV are:
Y = 0.299 R + 0.587 G + 0.114 B
U = 0.493 * (B - Y)
V = 0.877 * (R - Y)
In practice, the coefficients in the equations may deviate a bit due to the dynamics of the sensor used in a particular camera. If you want to know how the RGB to YUV conversion is accomplished in a particular Basler camera, please refer to the camera’s user manual for the correct coefficients. This information is particularly useful if you want to convert the output from a Basler IEEE 1394 camera from YUV back to RGB.
The diagram below illustrates how color can be coded with the U and V components and how the Y component codes the intensity of the signal.
This type of conversion is also known as YUV 4:4:4 sampling. With YUV 4:4:4, each pixel gets brightness and color information and the “4:4:4” indicates the proportion of the Y, U and V components in the signal.
To reduce the average amount of data transmitted per pixel from 24 bits to 16 bits, it is more common to include the color information for only every other pixel. This type of sampling is also known as YUV 4:2:2 sampling. Since the human eye is much more sensitive to intensity than it is to color, this reduction is almost invisible even though the conversion represents a real loss of information. As defined in the DCAM specification, YUV 4:2:2 digital output from a Basler camera has a depth that alternates between 24 bits per pixel and 8 bits per pixel (for an average bit depth of 16 bits per pixel).
As shown in the table below, when a Basler camera is set for YUV 4:2:2 output, each quadlet of image data transmitted by the camera will contain data for two pixels. In the table, K represents the number of a pixel in a frame and one row in the table represents a quadlet of data transmitted by the camera.
For every other pixel, both the intensity information and the color information are transmitted and this results in a 24 bit depth for those pixels. For the remaining pixels, only the intensity information is preserved and this results in an 8 bit depth for them. As you can see, the average depth per pixel is 16 bits.
On all Basler IEEE 1394 color cameras, you are free to choose between an output mode that provides the raw sensor output for each pixel or a high quality YUV 4:2:2 signal. Due to the high bandwidth that would be needed to provide full RGB output at 24 bits/pixel, Basler IEEE 1394 color cameras do not provide RGB output.