The frequency structure of one-dimensional occluding image signals

We present a theoretical investigation of the frequency structure of 1D occ luding image signals. We show that image signal occlusion contains relevant information which is most easily extractable from its representation in th e frequency domain. For instance, the occluding and occluded signal velocit ies may be identified as such and translucency phenomena may be understood in the terms of this theoretical investigation. in addition, it is found th at the structure of occluding 1D signals is invariant under constant and li near models of signal velocity. This theoretical framework can be used to d escribe the exact frequency structure of non-Fourier motion and bridges the gap between such visual phenomena and their understanding in the frequency domain.