Cursor-injective two-valued lattices for a local encoding of pixel position

Abstract

The introduction of intelligence within focal plane arrays (FPA) leads to sensory devices, called artificial retinas, which no longer output images but rather lists (or other data structures) of active pixels or points of interest. This results from on-sensor image processing, which may go up to some structural pattern recognition. Then new efficiency communication operators and techniques are needed. A novel approach is proposed that allows to encode pixel addresses in the pixel neighborhood using a single bit of information per pixel. Addresses are hidden in a 2-D two-valued lattice which features remarkable mathematical properties. By embedding such a structure within an artificial retina, it becomes possible to locate active pixels by asking a few global questions to the whole array and collecting the answers using a global OR.