Scene-based non-uniformity correction using compressive sensing

A novel compressive sensing (CS) based non-uniformity correction (NUC) technique for focal plane array (FPA) imaging system is proposed. Instead of estimating NUC parameters from video sequence at 100% sensors in FPA, only 40% sensors are selected via CS measurement matrix for real-time NUC estimation and CS reconstruction algorithm is exploited to obtain NUC compensation table for 100% sensors. In this study, temporal highpass filtering technique is used to estimate NUC parameters at selected pixels from sequence of video frames. The simulation results show that proposed CS based NUC framework can effectively remove FPA non-uniformities.

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