  This paper introduces a novel non-Separable sPAtioteMporal filter (non-SPAM)
which enables the spatiotemporal decomposition of a still-image. The
construction of this filter is inspired by the model of the retina which is
able to selectively transmit information to the brain. The non-SPAM filter
mimics the retinal-way to extract necessary information for a dynamic
encoding/decoding system. We applied the non-SPAM filter on a still image which
is flashed for a long time. We prove that the non-SPAM filter decomposes the
still image over a set of time-varying difference of Gaussians, which form a
frame. We simulate the analysis and synthesis system based on this frame. This
system results in a progressive reconstruction of the input image. Both the
theoretical and numerical results show that the quality of the reconstruction
improves while the time increases.
