Research on fusion schemes of multi-band color night vision images based on opponent vision property

Equilibrium equation of on-center off-surround shunting network (CSSN) based on difference of Gaussians (DOG) that simulated concentric circle pattern opponent receptive field in retina was analyzed and utilized to enhance and fuse night vision images, which could improve contrast, pop out edge, compress dynamic range, reserve common information and enrich complementary information. Multi-band fusion architectures for color night vision images built on CSSN e-quilibrium equation were proposed, which included multi-spectrum low-level light visible(LLLV), LLLV(long-wave infrared(LWIR), LWIR/media-wave infrared(MWIR), and LLLV/LWIR/MWIR images. Color mapping rules in these architectures used cool and warm color to present cold and warm targets in infrared, and map LLLV image with plenty of details into green channel as green background. Emulating results show that all architectures obtain natural color appearance.