  A technique for the enhancement of point targets in clutter is described. The
local 3-D spectrum at each pixel is estimated recursively. An optical
flow-field for the textured background is then generated using the 3-D
autocorrelation function and the local velocity estimates are used to apply
high-pass velocity-selective spatiotemporal filters, with finite impulse
responses (FIRs), to subtract the background clutter signal, leaving the
foreground target signal, plus noise. Parallel software implementations using a
multicore central processing unit (CPU) and a graphical processing unit (GPU)
are investigated.
