libipa: Add bayesian AWB algorithm

The bayesian AWB algorithm is an AWB algorithm that takes prior
probabilities for a given light source dependent on the current lux
level into account.

The biggest improvement compared to the grey world model comes from the
search of the ideal white point on the CT curve. The algorithm walks the
CT curve to minimize the colour error for a given statistics. After the
minimium is found it additionally tries to search the area around that
spot and also off the curve. So even without defined prior probabilities
this algorithm provides much better results than the grey world
algorithm.

The logic for this code was taken from the RaspberryPi implementation.
The logic was only minimally adjusted for usage with the rkisp1 and a
few things were left out (see doxygen doc for the AwbBayes class). The
code is refactored to better fit the libcamera code style and to make
use of the syntactic sugar provided by the Interpolator and Vector
classes.

Signed-off-by: Stefan Klug <stefan.klug@ideasonboard.com>
Reviewed-by: Paul Elder <paul.elder@ideasonboard.com>
Reviewed-by: Daniel Scally <dan.scally@ideasonboard.com>

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