Manufacture of nonuniformity correction system for infrared detector

The advantages and disadvantages in nonuniformity correction(NUC) algorithms based on calibration and scene of infrared focal plane arrays(IRFPA) were analyzed separately. Firstly, according to the binary nonlinear nonuniformity theory model of IRFPA, a novel nonuniformity considering S curve correction method was proposed. Then, the original signal was captured using FLIR long-wavelength(8-14 microns) un-cooled infrared detector. And the response model of IRFPA was established. The algorithm flow based on FLIR long-wavelength un-cooled infrared detector with FPGA platform was described. The S curve correction method was implemented on the platform. By these ways, the whole infrared image quality was improved. The experimental results show that the fringe nonuniformity of infrared image is reduced after the S curve correction and the nonuniformity of IRFPA module is decreased from 6.45% to 2.06%.