Sequence arrangement of wavelet transform for nonuniformity correction in infrared focal-plane arrays

An algorithm of sequence arrangement of wavelet transform (SAWT) for infrared focal-plane arrays (IRFPA) nonuniformity correction (NUC) aiming to remote sensing image was proposed. Firstly, distribution characteristics of pixel sequence of remote sensing image sequence were analyzed in wavelet space and scale space. Secondly, a reconstruction algorithm using mean value of approximation sequence arrangement of wavelet transform for NUC was proposed. Finally, nonuniformity of real infrared image sequence was correct by SAWT, and correction effect by SAWT compared with the algorithms of Kalman filter and Wiener filter. Results show that visual effect of SAWT is better than the other two algorithms with image sequence data quantity reduction, and the residual nonuniformity of sum image of sequence is 7-9 orders of magnitude lower than the other two algorithms, and the roughness of uniform area of image is less 0.0158-0.0544 than other algorithms. SAWT is also effective for NUC in IRFPA in less data quantity.

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