Two architectures for a programmable image processor with on-chip light sen
sing capability are described. The first is a VLSI implementation of a cell
ular neural network. The second is a distributed dual-structure mutation of
the first architecture. The distributed dual architecture leverages the sp
eed of silicon against the large silicon area requirements. Moreover, the i
nnovative integrated nature of the dual-structure design significantly redu
ces the bottleneck and computational overload caused by data transfer from
sensory focal plane to the image processor. The paper also describes VLSI c
hip prototypes and test results.