Nonuniformity correction algorithm based on wavelet transform for infrared focal plane arrays

Nonuniformity is a key factor that influences the performance of the infrared focal plane arrays (IRFPA) imaging system. A nonuniformity correction algorithm based on discrete sequence wavelet transform for IRFPA is presented. The infrared image sequences of detectors are decomposed by the discrete sequence wavelet transform. And then correction coefficients of the offset and the gain for NUC are achieved by calculating the corresponding statistics of the decomposed signal. Finally the NUC is fulfilled. The capability of the algorithm to adaptively correct nonuniformity in IRFPA imagery is demonstrated by using real infrared image sequences with different wavelet function. The algorithm achieves good nonuniformity correction ability.