In the context of this paper image synthesis is the process of transforming an uncorrelated image to one with the same textural qualities as a known ``traning image'' (TI for short). The traditional applications of image synthesis have been in computer graphics, but same ideas will prove useful for earth scientists, due to the nature of their experimental measurements.
To create the synthesized image (SI for short), we first compute some of the TI's key one-point and two-point statistics and then impose these statistics on the SI. To overcome the difficulties in estimation induced by scale variance, our method utilizes the ``Laplacian Pyramid'' decomposition, a simple and well known tool for multiscale image analysis.