Wood textures present a huge variety of colors, from bright yellow over fiery red and royal purple to coffee brown. They distinguish from each other in an enormous richness of patterns and structures, like fiddle back flames, burls, bird’s eyes, quilts, masur and curly waves. At the same time, they share a lot of common features. They all have regions of different densities, denser darker areas and less dense brighter areas. The textures are neither completely random (noise) nor deterministic (grid) but somewhere in between (stochastic). The periodicity of the occurrence of annual rings makes them an ideal topic for investigation.
The color information of the wood sample images are translated from the spatial domain into the frequency domain by applying a Fast Fourier Transformation (FFT). Regularly reappearing features of the image are captured and described by their wave length, amplitude, and phase angle.
By crossing over high and low frequencies from different inputs, by flipping rows to create new symmetry relationships or by applying filters, new and somewhat intriguing kinds of meta-wood are being synthesized following a hidden musical score. The results are not just mirrored but interwoven, not perfectly symmetrical but a bit like a piece of wood cut open and the two halves put side by side – similar but not equal.