In this dissertation, on the base of analysis on the vision distance theory of passive low-level-light (LLL) night vision instrument, demonstrated the possibility that using the pulse laser array to illuminate the traditional night vision system can improve the vision distance of the system. The pseudo random laser enhancement technology are put forward to handle the limitation that the laser illumination system is easy to be detected. Systemically studied pseudo random coding theory, and designed the control circuits of pseudo random laser emission and image catching synchronously. In the technique of fusion on night vision images, new algorithms of LLL images and laser assistant vision images fusion and a series of derivative algorithms are put forward on the base of testing on the NRL and TNO algorithm. These algorithms include gray modulation, frequence field fusion, exceptional element fusion (including adding and modulating). Builded the pulse laser assistant night vision system. Did several out-side experiments using this system and and some observation evaluation on the experiment results. These algorithms are proved to be effective. |