These images were generated by running a modified version of a standard
bifurcation map algorithm. Instead of plotting each value for N iterations
and varying values of r on the x axis, we show the statistical distribution
of N points for a given value of r as a vertical line, where white designates
100% probability, and black 0%.

This 1D distribution map is then run through an exposure function:

	out = 1 - exp(-in * a)) * b;

where b = 1 / (1-exp(-a)), and a is a predetermined exposure constant.

The point of such a function is to better handle huge value ranges.

The output is finally scaled from [0...1] to [0...255] and plotted.

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See "sawtest.cc" if you want real code (requires plot*.h, plot*.cc). 
It may be sparsely commented, though.