  This study proposes a radically alternate approach for extracting
quantitative information from schlieren images. The method uses a scaled,
derivative enhanced Gaussian process model to obtain true density estimates
from two corresponding schlieren images with the knife-edge at horizontal and
vertical orientations. We illustrate our approach on schlieren images taken
from a wind tunnel sting model, a supersonic aircraft in flight, and a
high-order numerical shock tube simulation.
