Algorithmic analysis and real-time system design of nonuniformity correction techniques

In order to get good results of Nonuniformity Correction (NUC) of Infrared Focal Plane Arrays (IRFPA), we discuss the origin of nonuniformity and types of noise generated by IRFPA imaging system. And the common methods of calibration-based and scene-based NUC are presented. The effects of simulation and real-time performance of two NUC approaches, modified temporal high-pass filtering and improved neural network, which use scene information captured by the imaging system to estimate the parameters of the detectors in some ways, are evaluated. At the same time, a small low power consumption DSP hardware platform with TMS320DM642 as the kernel processor is designed. The work flow of the system and the strategy of real-time realization are introduced. It is an effective choice for IRFPA.