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This program is part of Netpbm.
pambayer reads a Bayer pattern in a 1-deep Netpbm image and produces a color image in PAM RGB format as output.
A Bayer pattern is what you get from the optical sensor in some digital cameras. Such a camera doesn't have a red, green, and blue sensor in the exact same place for an individual pixel. Instead, it has red, green, and blue sensors laid out in a two dimensional array. The pattern in which they are laid out is the Bayer pattern. The input to pambayer is one sample value for each of those sensors, so some samples are red, some are green, and some are blue.
pambayer turns that into a regular visual image with one pixel per sensor. For the two components of each pixel that are missing in the corresponding Bayer input, pambayer averages the sample values from the adjacent pixels that do have that component.
But you can have pambayer fill in black instead (see the -noninterpolate option), which gives you a simpler representation of what the camera saw, on which you might do further processing. Such an image still looks right, though considerably dimmer, if you stand far enough away and let your eyes do the interpolation.
The input image is a pseudo-PNM image (pseudo- because while the structure is the same, the sample values have different meanings) or PAM image of arbitrary tuple type. pambayer looks at only the first plane of the input.
The output image is a PAM image of tuple type "RGB", i.e. a standard color image. You can convert this to PPM with pamtopnm.
If you're interested in just one of the primary colors, use pamchannel on the output of pambayer to extract it.
This option was new in Netpbm 10.49 (December 2009).
pambayer was new in Netpbm 10.30 (October 2005).