An improved nonuniformity correction algorithm for IRFPA
To improve nonuniformity correction real-time performance of infrared focal plane arrays (IRFPA), a novel compression nonuniformity correction algorithm is proposed. In this paper the basic principle of the proposed algorithm are expounded, and its real-time performance is tested by hardware. Experimental results show that the proposed algorithm has the less calculation and the higher speed than traditional nonuniformity correction algorithm based on blackbody, and this helps to realization of real-time nonuniformity correction of IRFPA.
METHOD OF NONUNIFORMITY CORRECTION FOR IRFPA WITH NONLINEAR RESPONSE
Aiming at the nonlinearity of photoresponse characteristic in infrared focal plane arrays,a approach of nonuniformity correction for IRFPA,named "curve-beeline" correction,was proposed,and the correction formula was given.The simulation results show that it has perfect performance of high precision,and less calculation.Only a few parameters are needed to storage and it is easy to implement by hardware circuit.
Influence Of Nonuniformity On Infrared Focal Plane Array Performance
It is well known that detector response nonuniformity results in pattern noise with staring sensors that is a severe problem in the infrared due to the low intrinsic contrast of IR imagery. The pattern noise can be corrected by electronic processing; however, the ability to correct for pattern noise is limited by the interaction of interscene and intrascene variability with the dynamic range of the processor (number of bits) and, depending upon the algorithm used, by nonlinearities in the detector response. This paper quantifies these limitations and describes the interaction of detector gain nonuniformity and detector nonlinearities. Probabilistic models are developed to determine the maximum sensitivity that can be obtained using a two-point algorithm to correct a nonlinear response curve over a wide temperature range. Curves that permit a prediction of the noise equivalent differential temperature (NEAT) under varying circumstances are presented. A piecewise linear approach to dealing with severe detector response nonlinearities is presented and analyzed for its effectiveness.