Real-time implementation of multi-point nonuniformity correction for IRFPA based on FPGA

With the rapid development of Infrared Focal Plane Array (IRFPA) technology, infrared imaging systems have found wide application. Due to the Fixed Pattern Noise, Nonuniformity correction (NUC) has played a key role to achieve higher performances in modern infrared imaging systems. In this thesis, we designed an imaging system with Sofradir 320×256 Short Wave Infrared Focal Plane Array (SWIFPA), especially discussed the Real-time Multi-point NUC system based on FPGA (Actel APA600). The novel contributions in our approach include the central role of Actel FPGA in whole system, and the processing and parameter storage model. We used multi-point algorithm for NUC which concerns the nonlinear response of IRFPA and has better performance. We devised an innovative storage model which combined the nonvolatile of Flash memory with the high speed of SRAM, and successfully resolved the contradiction between high quality and high speed. The experiment results indicate that this system has good performances of low power, small volume, high speed and convenience of control.